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John Geweke

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:

    Mentioned in:

    1. H-Index for Journals
      by Francis Diebold in No Hesitations on 2018-03-08 17:47:00
  1. Author Profile
    1. Top Forecasting Institutions and Researchers According to IDEAS!
      by Clive Jones in Business Forecasting on 2013-06-28 01:43:46

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. John Geweke & John Rust & Herman K. Van Dijk, 2000. "Introduction: inference and decision making," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 545-546.

    Mentioned in:

    1. Introduction: inference and decision making (Journal of Applied Econometrics 2000) in ReplicationWiki ()
  2. Geweke, John, 1986. "Exact Inference in the Inequality Constrained Normal Linear Regression Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(2), pages 127-141, April.

    Mentioned in:

    1. Exact inference in the inequality constrained normal linear regression model (Journal of Applied Econometrics 1986) in ReplicationWiki ()

Working papers

  1. Garland Durham & John Geweke, 2013. "Adaptive Sequential Posterior Simulators for Massively Parallel Computing Environments," Working Paper Series 9, Economics Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Emmanuel Mamatzakis & Mike G. Tsionas, 2021. "Testing for persistence in US mutual funds’ performance: a Bayesian dynamic panel model," Annals of Operations Research, Springer, vol. 299(1), pages 1203-1233, April.
    2. Emmanuel Mamatzakis & Mike Tsionas, 2018. "A Bayesian dynamic model to test persistence in funds' performance," Working Paper series 18-23, Rimini Centre for Economic Analysis.
    3. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    4. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2013. "Historical Developments in Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 13-191/III, Tinbergen Institute.
    5. Tsionas, Mike G., 2018. "A Bayesian approach to find Pareto optima in multiobjective programming problems using Sequential Monte Carlo algorithms," Omega, Elsevier, vol. 77(C), pages 73-79.
    6. Li, Yong & Zhang, Mingzhi & Zhang, Yonghui, 2022. "Sequential Bayesian bandwidth selection for multivariate kernel regression with applications," Economic Modelling, Elsevier, vol. 112(C).
    7. Tsionas, Mike G., 2023. "Bayesian learning in performance. Is there any?," European Journal of Operational Research, Elsevier, vol. 311(1), pages 263-282.

  2. Amisano, Gianni & Geweke, John, 2013. "Prediction using several macroeconomic models," Working Paper Series 1537, European Central Bank.

    Cited by:

    1. Adam J. Check & Anna K Nolan & Tyler C. Schipper, 2019. "Forecasting GDP Growth using Disaggregated GDP Revisions," Economics Bulletin, AccessEcon, vol. 39(4), pages 2580-2588.
    2. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    3. Jonas Dovern & Hans Manner, 2018. "Order Invariant Tests for Proper Calibration of Multivariate Density Forecasts," CESifo Working Paper Series 7023, CESifo.
    4. Tan, Fei, 2018. "A Frequency-Domain Approach to Dynamic Macroeconomic Models," MPRA Paper 90487, University Library of Munich, Germany.
    5. Florian Eckert & Rob J Hyndman & Anastasios Panagiotelis, 2019. "Forecasting Swiss Exports Using Bayesian Forecast Reconciliation," Monash Econometrics and Business Statistics Working Papers 14/19, Monash University, Department of Econometrics and Business Statistics.
    6. Ross Askanazi & Francis X. Diebold & Frank Schorfheide & Minchul Shin, 2018. "On the Comparison of Interval Forecasts," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 953-965, November.
    7. Laura Liu, 2018. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," Papers 1805.04178, arXiv.org, revised Oct 2021.
    8. Florian Huber & Gregor Kastner & Martin Feldkircher, 2016. "Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models," Papers 1607.04532, arXiv.org, revised Jul 2018.
    9. Čapek, Jan & Crespo Cuaresma, Jesús & Hauzenberger, Niko & Reichel, Vlastimil, 2023. "Macroeconomic forecasting in the euro area using predictive combinations of DSGE models," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1820-1838.
    10. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    11. Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Paper 2019/2, Norges Bank.
    12. Ellington, Michael, 2018. "Financial market illiquidity shocks and macroeconomic dynamics: Evidence from the UK," Journal of Banking & Finance, Elsevier, vol. 89(C), pages 225-236.
    13. Marco Del Negro & Raiden B. Hasegawa & Frank Schorfheide, 2014. "Dynamic Prediction Pools: An Investigation of Financial Frictions and Forecasting Performance," PIER Working Paper Archive 14-034, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    14. Christian Hotz-Behofsits & Florian Huber & Thomas O. Zorner, 2018. "Predicting crypto-currencies using sparse non-Gaussian state space models," Papers 1801.06373, arXiv.org, revised Feb 2018.
    15. Götz, T.B. & Hecq, A.W. & Urbain, J.R.Y.J., 2014. "Combining distributions of real-time forecasts: An application to U.S. growth," Research Memorandum 027, Maastricht University, Graduate School of Business and Economics (GSBE).
    16. Chiu, Ching-Wai (Jeremy) & Mumtaz, Haroon & Pintér, Gábor, 2017. "Forecasting with VAR models: Fat tails and stochastic volatility," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1124-1143.
    17. Warne, Anders, 2023. "DSGE model forecasting: rational expectations vs. adaptive learning," Working Paper Series 2768, European Central Bank.
    18. Francis X. Diebold & Minchul Shin & Boyuan Zhang, 2021. "On the Aggregation of Probability Assessments: Regularized Mixtures of Predictive Densities for Eurozone Inflation and Real Interest Rates," Working Papers 21-06, Federal Reserve Bank of Philadelphia.
    19. Lasha Kavtaradze & Manouchehr Mokhtari, 2018. "Factor Models And Time†Varying Parameter Framework For Forecasting Exchange Rates And Inflation: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 302-334, April.
    20. Paul Ho & Thomas A. Lubik & Christian Matthes, 2023. "Averaging Impulse Responses Using Prediction Pools," Working Paper 23-04, Federal Reserve Bank of Richmond.
    21. Markku Lanne & Jani Luoto, 2015. "Estimation of DSGE Models under Diffuse Priors and Data-Driven Identification Constraints," CREATES Research Papers 2015-37, Department of Economics and Business Economics, Aarhus University.
    22. Ouysse, Rachida, 2016. "Bayesian model averaging and principal component regression forecasts in a data rich environment," International Journal of Forecasting, Elsevier, vol. 32(3), pages 763-787.
    23. Marcellino, Massimiliano & Abbate, Angela, 2016. "Point, interval and density forecasts of exchange rates with time-varying parameter models," CEPR Discussion Papers 11559, C.E.P.R. Discussion Papers.
    24. Suh, Hyunduk & Walker, Todd B., 2016. "Taking financial frictions to the data," Journal of Economic Dynamics and Control, Elsevier, vol. 64(C), pages 39-65.
    25. Hauber, Philipp, 2022. "Real-time nowcasting with sparse factor models," EconStor Preprints 251551, ZBW - Leibniz Information Centre for Economics.
    26. Loria, Francesca & Matthes, Christian & Wang, Mu-Chun, 2022. "Economic theories and macroeconomic reality," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 105-117.
    27. Knut Are Aastveit & Francesco Ravazzolo & Herman K. van Dijk, 2018. "Combined Density Nowcasting in an Uncertain Economic Environment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 131-145, January.
    28. Götz, Thomas B. & Hecq, Alain & Urbain, Jean-Pierre, 2016. "Combining forecasts from successive data vintages: An application to U.S. growth," International Journal of Forecasting, Elsevier, vol. 32(1), pages 61-74.
    29. R. V. Fattakhov & M. M. Nizamutdinov & V. V. Oreshnikov, 2020. "Assessment of the Attractiveness of Large Russian Cities for Residents, Tourists, and Business," Regional Research of Russia, Springer, vol. 10(4), pages 538-548, October.
    30. Francesco Bianchi & Sydney C. Ludvigson & Sai Ma, 2022. "Belief Distortions and Macroeconomic Fluctuations," American Economic Review, American Economic Association, vol. 112(7), pages 2269-2315, July.
    31. Низамутдинов М.М. & Орешников В.В., 2016. "Определение Параметров Управления Региональным Развитием На Основе Алгоритмов Нечеткой Логики," Журнал Экономика и математические методы (ЭММ), Центральный Экономико-Математический Институт (ЦЭМИ), vol. 52(2), pages 30-39, апрель.
    32. McAdam, Peter & Warne, Anders, 2018. "Euro area real-time density forecasting with financial or labor market frictions," Working Paper Series 2140, European Central Bank.
    33. Knut Are Aastveit & James Mitchell & Francesco Ravazzolo & Herman van Dijk, 2018. "The Evolution of Forecast Density Combinations in Economics," Tinbergen Institute Discussion Papers 18-069/III, Tinbergen Institute.
    34. Bańbura, Marta & Brenna, Federica & Paredes, Joan & Ravazzolo, Francesco, 2021. "Combining Bayesian VARs with survey density forecasts: does it pay off?," Working Paper Series 2543, European Central Bank.
    35. Carlos Henrique Dias Cordeiro de Castro & Fernando Antonio Lucena Aiube, 2023. "Forecasting inflation time series using score‐driven dynamic models and combination methods: The case of Brazil," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 369-401, March.
    36. Drachal, Krzysztof, 2021. "Forecasting crude oil real prices with averaging time-varying VAR models," Resources Policy, Elsevier, vol. 74(C).
    37. McAdam, Peter & Warne, Anders, 2020. "Density forecast combinations: the real-time dimension," Working Paper Series 2378, European Central Bank.

  3. Hazel Bateman & Christine Eckert & John Geweke & Jordan Louviere & Stephen Satchell & Susan Thorp, 2011. "Financial Competence, Risk Presentation and Retirement Portfolio Preferences," Working Papers 201120, ARC Centre of Excellence in Population Ageing Research (CEPAR), Australian School of Business, University of New South Wales.

    Cited by:

    1. Michael P. Keane & Susan Thorp, 2016. "Complex Decision Making: The Roles of Cognitive Limitations, Cognitive Decline and Ageing," Economics Papers 2016-W10, Economics Group, Nuffield College, University of Oxford.
    2. Andreas Oehler & Stefan Wendt, 2017. "Good Consumer Information: the Information Paradigm at its (Dead) End?," Journal of Consumer Policy, Springer, vol. 40(2), pages 179-191, June.
    3. Marija Kuzmanovic & Dragana Makajic-Nikolic & Nebojsa Nikolic, 2019. "Preference Based Portfolio for Private Investors: Discrete Choice Analysis Approach," Mathematics, MDPI, vol. 8(1), pages 1-20, December.
    4. Sebastian Bachler & Felix Holzmeister & Michael Razen & Matthias Stefan, 2021. "The Impact of Presentation Format and Choice Architecture on Portfolio Allocations: Experimental Evidence," Working Papers 2021-15, Faculty of Economics and Statistics, Universität Innsbruck.
    5. Keane, M.P. & Thorp, S., 2016. "Complex Decision Making," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 661-709, Elsevier.
    6. Fiebig, D.G. & Viney, R. & Haas, M. & Knox, S. & Street, D. & Weisberg, E. & Bateson, D., 2015. "Complexity and doctor choices when discussing contraceptives," Health, Econometrics and Data Group (HEDG) Working Papers 15/14, HEDG, c/o Department of Economics, University of York.
    7. Mara Hammerle & Paul Crosby & Rohan Best, 2021. "Super‐sizing Renewable Energy Investment: Examining the Portfolio Preferences of Superannuation Fund Members," The Economic Record, The Economic Society of Australia, vol. 97(317), pages 267-284, June.
    8. Hazel Bateman & Christine Eckert & John Geweke & Jordan Louviere & Stephen Satchell & Susan Thorp, 2016. "Risk Presentation and Portfolio Choice," Review of Finance, European Finance Association, vol. 20(1), pages 201-229.
    9. Rafal Chomik & John Piggott, 2012. "Pensions, Ageing and Retirement in Australia: Long-Term Projections and Policies," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 45(3), pages 350-361, September.

  4. Amisano, Gianni & Geweke, John, 2011. "Analysis of variance for bayesian inference," Working Paper Series 1409, European Central Bank.

    Cited by:

    1. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    2. Mike Tsionas & Marwan Izzeldin & Lorenzo Trapani, 2019. "Bayesian estimation of large dimensional time varying VARs using copulas," Papers 1912.12527, arXiv.org.
    3. Anders Warne & Günter Coenen & Kai Christoffel, 2017. "Marginalized Predictive Likelihood Comparisons of Linear Gaussian State‐Space Models with Applications to DSGE, DSGE‐VAR, and VAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 103-119, January.
    4. Tsionas, Mike G. & Izzeldin, Marwan & Trapani, Lorenzo, 2022. "Estimation of large dimensional time varying VARs using copulas," European Economic Review, Elsevier, vol. 141(C).
    5. Kolasa, Marcin & Rubaszek, Michał, 2014. "Forecasting with DSGE models with financial frictions," Dynare Working Papers 40, CEPREMAP.
    6. Erlan Konebayev, 2022. "Forecasting a commodity-exporting small open developing economy using DSGE and DSGE-BVAR," NAC Analytica Working Paper 24, NAC Analytica, Nazarbayev University, revised May 2022.
    7. Waggoner, Daniel F. & Zha, Tao, 2012. "Confronting model misspecification in macroeconomics," Journal of Econometrics, Elsevier, vol. 171(2), pages 167-184.
    8. McAdam, Peter & Warne, Anders, 2018. "Euro area real-time density forecasting with financial or labor market frictions," Working Paper Series 2140, European Central Bank.

  5. Hazel Bateman & Christine Ebling & John Geweke & Jordan Louviere & Stephen Satchell & Susan Thorp, 2011. "Economic Rationality, Risk Presentation, and Retirement Portfolio Choice," Working Papers 201121, ARC Centre of Excellence in Population Ageing Research (CEPAR), Australian School of Business, University of New South Wales.

    Cited by:

    1. Bateman, Hazel & Eckert, Christine & Geweke, John & Louviere, Jordan & Satchell, Stephen & Thorp, Susan, 2014. "Financial competence, risk presentation and retirement portfolio preferences," Journal of Pension Economics and Finance, Cambridge University Press, vol. 13(1), pages 27-61, January.

  6. Amisano, Gianni & Geweke, John, 2009. "Optimal Prediction Pools," Working Paper Series 1017, European Central Bank.

    Cited by:

    1. Hautsch, Nikolaus & Voigt, Stefan, 2017. "Large-scale portfolio allocation under transaction costs and model uncertainty," CFS Working Paper Series 582, Center for Financial Studies (CFS).
    2. Li, Li & Kang, Yanfei & Li, Feng, 2023. "Bayesian forecast combination using time-varying features," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1287-1302.
    3. Hansen, Lars Peter & Sargent, Thomas J., 2022. "Structured ambiguity and model misspecification," Journal of Economic Theory, Elsevier, vol. 199(C).
    4. Kajal Lahiri & Huaming Peng & Xuguang Simon Sheng, 2021. "Measuring Uncertainty of a Combined Forecast and Some Tests for Forecaster Heterogeneity," Working Papers 2021-005, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    5. Buncic, Daniel & Müller, Oliver, 2017. "Measuring the output gap in Switzerland with linear opinion pools," Economic Modelling, Elsevier, vol. 64(C), pages 153-171.
    6. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2023. "Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP012023, School of Economics, University of Queensland, Australia.
    7. Tan, Fei, 2018. "A Frequency-Domain Approach to Dynamic Macroeconomic Models," MPRA Paper 90487, University Library of Munich, Germany.
    8. Ohtsuka, Yoshihiro & Oga, Takashi & Kakamu, Kazuhiko, 2010. "Forecasting electricity demand in Japan: A Bayesian spatial autoregressive ARMA approach," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2721-2735, November.
    9. Pauwels, Laurent & Radchenko, Peter & Vasnev, Andrey, 2019. "Higher Moment Constraints for Predictive Density Combinations," Working Papers BAWP-2019-01, University of Sydney Business School, Discipline of Business Analytics.
    10. Emilio Zanetti Chini, 2018. "Forecaster’s utility and forecasts coherence," CREATES Research Papers 2018-01, Department of Economics and Business Economics, Aarhus University.
    11. Bjørnland, Hilde C. & Ravazzolo, Francesco & Thorsrud, Leif Anders, 2017. "Forecasting GDP with global components: This time is different," International Journal of Forecasting, Elsevier, vol. 33(1), pages 153-173.
    12. Kenichiro McAlinn, 2021. "Mixed‐frequency Bayesian predictive synthesis for economic nowcasting," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(5), pages 1143-1163, November.
    13. Anders Warne & Günter Coenen & Kai Christoffel, 2017. "Marginalized Predictive Likelihood Comparisons of Linear Gaussian State‐Space Models with Applications to DSGE, DSGE‐VAR, and VAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 103-119, January.
    14. Mackowiak, Bartosz & Jarocinski, Marek, 2013. "Granger-Causal-Priority and Choice of Variables in Vector Autoregressions," CEPR Discussion Papers 9686, C.E.P.R. Discussion Papers.
    15. Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2018. "Quantile forecast combination using stochastic dominance," Empirical Economics, Springer, vol. 55(4), pages 1717-1755, December.
    16. Aknouche, Abdelhakim & Dimitrakopoulos, Stefanos, 2020. "On an integer-valued stochastic intensity model for time series of counts," MPRA Paper 105406, University Library of Munich, Germany.
    17. Davide Pettenuzzo & Rossen Valkanov & Allan Timmermann, 2014. "A Bayesian MIDAS Approach to Modeling First and Second Moment Dynamics," Working Papers 76, Brandeis University, Department of Economics and International Business School.
    18. Berg, Tim O. & Henzel, Steffen R., 2015. "Point and density forecasts for the euro area using Bayesian VARs," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1067-1095.
    19. Timmermann, Allan & Pettenuzzo, Davide, 2016. "Forecasting Macroeconomic Variables under Model Instability," CEPR Discussion Papers 11355, C.E.P.R. Discussion Papers.
    20. Matteo Mogliani & Anna Simoni, 2024. "Bayesian Bi-level Sparse Group Regressions for Macroeconomic Forecasting," Papers 2404.02671, arXiv.org.
    21. Deak, S. & Levine, P. & Mirza, A. & Pearlman, J., 2019. "Designing Robust Monetary Policy Using Prediction Pools," Working Papers 19/11, Department of Economics, City University London.
    22. Roberto Casarin & Fabrizio Leisen & German Molina & Enrique Ter Horst, 2014. "A Bayesian Beta Markov Random Field calibration of the term structure of implied risk neutral densities," Working Papers 2014:22, Department of Economics, University of Venice "Ca' Foscari".
    23. George Papadopoulos & Savas Papadopoulos & Thomas Sager, 2016. "Credit risk stress testing for EU15 banks: a model combination approach," Working Papers 203, Bank of Greece.
    24. Mike G. Tsionas, 2023. "Linex and double-linex regression for parameter estimation and forecasting," Annals of Operations Research, Springer, vol. 323(1), pages 229-245, April.
    25. James Morley, 2014. "Measuring economic slack in Asia and the Pacific," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation, inflation and monetary policy in Asia and the Pacific, volume 77, pages 35-50, Bank for International Settlements.
    26. Doron Avramov & Si Cheng & Lior Metzker & Stefan Voigt, 2023. "Integrating Factor Models," Journal of Finance, American Finance Association, vol. 78(3), pages 1593-1646, June.
    27. Davide Pettenuzzo & Francesco Ravazzolo, 2014. "Optimal portfolio choice under decision-based model combinations," Working Paper 2014/15, Norges Bank.
    28. Hautsch, Nikolaus & Voigt, Stefan, 2017. "Large-Scale Portfolio Allocation Under Transaction Costs and Model Uncertainty: Adaptive Mixing of High- and Low-Frequency Information," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168222, Verein für Socialpolitik / German Economic Association.
    29. Richard K. Crump & Miro Everaert & Domenico Giannone & Sean Hundtofte, 2018. "Changing Risk-Return Profiles," Staff Reports 850, Federal Reserve Bank of New York.
    30. Qian, Wei & Rolling, Craig A. & Cheng, Gang & Yang, Yuhong, 2022. "Combining forecasts for universally optimal performance," International Journal of Forecasting, Elsevier, vol. 38(1), pages 193-208.
    31. Pettenuzzo, Davide & Timmermann, Allan & Valkanov, Rossen, 2016. "A MIDAS approach to modeling first and second moment dynamics," Journal of Econometrics, Elsevier, vol. 193(2), pages 315-334.
    32. Čapek, Jan & Crespo Cuaresma, Jesús & Hauzenberger, Niko & Reichel, Vlastimil, 2023. "Macroeconomic forecasting in the euro area using predictive combinations of DSGE models," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1820-1838.
    33. Mengheng Li & Siem Jan Koopman, 2021. "Unobserved components with stochastic volatility: Simulation‐based estimation and signal extraction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 614-627, August.
    34. Ruben Loaiza‐Maya & Gael M. Martin & David T. Frazier, 2021. "Focused Bayesian prediction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 517-543, August.
    35. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    36. Timmermann, Allan & Pettenuzzo, Davide & Gargano, Antonio, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," CEPR Discussion Papers 10104, C.E.P.R. Discussion Papers.
    37. Li, Bing & Pei, Pei & Tan, Fei, 2021. "Financial distress and fiscal inflation," Journal of Macroeconomics, Elsevier, vol. 70(C).
    38. Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Paper 2019/2, Norges Bank.
    39. Cristina Conflitti & Christine De Mol & Domenico Giannone, 2012. "Optimal Combination of Survey Forecasts," Working Papers ECARES ECARES 2012-023, ULB -- Universite Libre de Bruxelles.
    40. Michael S. O’Doherty & N. E. Savin & Ashish Tiwari, 2016. "Evaluating Hedge Funds with Pooled Benchmarks," Management Science, INFORMS, vol. 62(1), pages 69-89, January.
    41. Barbara Rossi, 2019. "Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them," Economics Working Papers 1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.
    42. Guofu Zhou, 2018. "Measuring Investor Sentiment," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 239-259, November.
    43. Gianni Amisano & John Geweke, 2017. "Prediction Using Several Macroeconomic Models," The Review of Economics and Statistics, MIT Press, vol. 99(5), pages 912-925, December.
    44. Yi-Ting Chen & Chu-An Liu, 2021. "Model Averaging for Asymptotically Optimal Combined Forecasts," IEAS Working Paper : academic research 21-A002, Institute of Economics, Academia Sinica, Taipei, Taiwan.
    45. Jean-Guillaume Sahuc & Matteo Mogliani & Laurent Ferrara, 2022. "High-frequency monitoring of growth at risk," Post-Print hal-03361425, HAL.
    46. Carlos Carvalho & Jared D. Fisher & Davide Pettenuzzo, 2018. "Optimal Asset Allocation with Multivariate Bayesian Dynamic Linear Models," Working Papers 123, Brandeis University, Department of Economics and International Business School.
    47. Marco Del Negro & Raiden B. Hasegawa & Frank Schorfheide, 2014. "Dynamic Prediction Pools: An Investigation of Financial Frictions and Forecasting Performance," PIER Working Paper Archive 14-034, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    48. Guérin, Pierre & Leiva-Leon, Danilo, 2017. "Model averaging in Markov-switching models: Predicting national recessions with regional data," Economics Letters, Elsevier, vol. 157(C), pages 45-49.
    49. Matteo Mogliani & Anna Simoni, 2020. "Bayesian MIDAS penalized regressions: Estimation, selection, and prediction," Post-Print hal-03089878, HAL.
    50. Knüppel, Malte & Krüger, Fabian, 2017. "Forecast Uncertainty, Disagreement, and Linear Pools of Density Forecasts," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168294, Verein für Socialpolitik / German Economic Association.
    51. Cheng, Xu & Hansen, Bruce E., 2015. "Forecasting with factor-augmented regression: A frequentist model averaging approach," Journal of Econometrics, Elsevier, vol. 186(2), pages 280-293.
    52. Tsionas, Mike G., 2021. "Bayesian forecasting with the structural damped trend model," International Journal of Production Economics, Elsevier, vol. 234(C).
    53. Fabian Krüger & Todd E. Clark & Francesco Ravazzolo, 2017. "Using Entropic Tilting to Combine BVAR Forecasts With External Nowcasts," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(3), pages 470-485, July.
    54. Timmermann, Allan, 2018. "Forecasting Methods in Finance," CEPR Discussion Papers 12692, C.E.P.R. Discussion Papers.
    55. Chin, Kuo-Hsuan & Li, Xue, 2019. "Bayesian forecast combination in VAR-DSGE models," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 278-298.
    56. Paolo Gorgi, 2020. "Beta–negative binomial auto‐regressions for modelling integer‐valued time series with extreme observations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(5), pages 1325-1347, December.
    57. Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
    58. Fernández-Villaverde, J. & Rubio-Ramírez, J.F. & Schorfheide, F., 2016. "Solution and Estimation Methods for DSGE Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 527-724, Elsevier.
    59. Stanislav Anatolyev & Renat Khabibullin & Artem Prokhorov, 2013. "Reconstructing high dimensional dynamic distributions from distributions of lower dimension," Working Papers w0167, New Economic School (NES).
    60. Rui Liu, 2019. "Forecasting Bond Risk Premia with Unspanned Macroeconomic Information," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 9(01), pages 1-62, March.
    61. Knut Are Aastveit & Jamie Cross & Herman K. van Dijk, 2021. "Quantifying time-varying forecast uncertainty and risk for the real price of oil," Tinbergen Institute Discussion Papers 21-053/III, Tinbergen Institute.
    62. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
    63. Cristiano Cantore & Paul Levine & Joseph Pearlman & Bo Yang, 2014. "CES Technology and Business Cycle Fluctuations," School of Economics Discussion Papers 0414, School of Economics, University of Surrey.
    64. Joshua C.C. Chan & Eric Eisenstat & Chenghan Hou & Gary Koop, 2018. "Composite likelihood methods for large Bayesian VARs with stochastic volatility," CAMA Working Papers 2018-26, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    65. Roberto Gómez‐Cram, 2022. "Late to Recessions: Stocks and the Business Cycle," Journal of Finance, American Finance Association, vol. 77(2), pages 923-966, April.
    66. Gael M. Martin & Rub'en Loaiza-Maya & David T. Frazier & Worapree Maneesoonthorn & Andr'es Ram'irez Hassan, 2020. "Optimal probabilistic forecasts: When do they work?," Papers 2009.09592, arXiv.org.
    67. Chiu, Ching-Wai (Jeremy) & Mumtaz, Haroon & Pintér, Gábor, 2017. "Forecasting with VAR models: Fat tails and stochastic volatility," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1124-1143.
    68. Emilio Zanetti Chini, 2013. "Generalizing smooth transition autoregressions," CEIS Research Paper 294, Tor Vergata University, CEIS, revised 25 Sep 2014.
    69. Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
    70. Laurent L. Pauwels & Andrey L. Vasnev, 2017. "Forecast combination for discrete choice models: predicting FOMC monetary policy decisions," Empirical Economics, Springer, vol. 52(1), pages 229-254, February.
    71. Petropoulos, Fotios & Spiliotis, Evangelos & Panagiotelis, Anastasios, 2023. "Model combinations through revised base rates," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1477-1492.
    72. Emilio Zanetti Chini, 2018. "Forecasting dynamically asymmetric fluctuations of the U.S. business cycle," CREATES Research Papers 2018-13, Department of Economics and Business Economics, Aarhus University.
    73. Anthony Garratt & Timo Henckel & Shaun P. Vahey, 2019. "Empirically-transformed linear opinion pools," CAMA Working Papers 2019-47, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    74. Boriss Siliverstovs, 2013. "Do business tendency surveys help in forecasting employment?: A real-time evidence for Switzerland," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(2), pages 129-151.
    75. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2015. "Bayesian nonparametric calibration and combination of predictive distributions," Working Paper 2015/03, Norges Bank.
    76. Kolasa, Marcin & Rubaszek, Michał, 2014. "Forecasting with DSGE models with financial frictions," Dynare Working Papers 40, CEPREMAP.
    77. Mansoor Maitah & Daniel Toth & Elena Kuzmenko & Karel r dl & Helena Rezbov & Petra nov, 2016. "Forecast of Employment in Switzerland: The Macroeconomic View," International Journal of Economics and Financial Issues, Econjournals, vol. 6(1), pages 132-138.
    78. Francis X. Diebold & Minchul Shin & Boyuan Zhang, 2021. "On the Aggregation of Probability Assessments: Regularized Mixtures of Predictive Densities for Eurozone Inflation and Real Interest Rates," Working Papers 21-06, Federal Reserve Bank of Philadelphia.
    79. Dimitrakopoulos, Stefanos & Tsionas, Mike, 2019. "Ordinal-response GARCH models for transaction data: A forecasting exercise," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1273-1287.
    80. Joscha Beckmann & Rainer Schüssler, 2014. "Forecasting Exchange Rates under Model and Parameter Uncertainty," CQE Working Papers 3214, Center for Quantitative Economics (CQE), University of Muenster.
    81. Eo, Yunjong & Kang, Kyu Ho, 2020. "The effects of conventional and unconventional monetary policy on forecasting the yield curve," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    82. Nima Nonejad, 2021. "An Overview Of Dynamic Model Averaging Techniques In Time‐Series Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 35(2), pages 566-614, April.
    83. Anne Sofie Jore & James Mitchell & Shaun Vahey, 2008. "Combining Forecast Densities from VARs with Uncertain Instabilities," Reserve Bank of New Zealand Discussion Paper Series DP2008/18, Reserve Bank of New Zealand.
    84. Edward S. Knotek & Saeed Zaman, 2020. "Real-Time Density Nowcasts of US Inflation: A Model-Combination Approach," Working Papers 20-31, Federal Reserve Bank of Cleveland.
    85. Luca Onorante & Adrian E. Raftery, 2014. "Dynamic Model Averaging in Large Model Spaces Using Dynamic Occam's Window," Papers 1410.7799, arXiv.org.
    86. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    87. Tsionas, Mike G., 2021. "Optimal combinations of stochastic frontier and data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 294(2), pages 790-800.
    88. Aleksandra Nocoń, 2020. "Sustainable Approach to the Normalization Process of the UK’s Monetary Policy," Sustainability, MDPI, vol. 12(21), pages 1-14, November.
    89. Knut Are Aastveit & Karsten R. Gerdrup & Anne Sofie Jore & Leif Anders Thorsrud, 2011. "Nowcasting GDP in real-time: A density combination approach," Working Paper 2011/11, Norges Bank.
    90. Amisano, Gianni & Geweke, John, 2008. "Comparing and evaluating Bayesian predictive distributions of assets returns," Working Paper Series 969, European Central Bank.
    91. Garratt, Anthony & Mitchell, James & Vahey, Shaun P., 2014. "Measuring output gap nowcast uncertainty," International Journal of Forecasting, Elsevier, vol. 30(2), pages 268-279.
    92. Paolo Vidoni, 2021. "Boosting multiplicative model combination," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(3), pages 761-789, September.
    93. Gergely Akos Ganics, 2017. "Optimal density forecast combinations," Working Papers 1751, Banco de España.
    94. Markku Lanne & Jani Luoto, 2015. "Estimation of DSGE Models under Diffuse Priors and Data-Driven Identification Constraints," CREATES Research Papers 2015-37, Department of Economics and Business Economics, Aarhus University.
    95. Jin, Xin & Maheu, John M. & Yang, Qiao, 2022. "Infinite Markov pooling of predictive distributions," Journal of Econometrics, Elsevier, vol. 228(2), pages 302-321.
    96. Fabio Canova & Christian Matthes, 2021. "Dealing with misspecification in structural macroeconometric models," Quantitative Economics, Econometric Society, vol. 12(2), pages 313-350, May.
    97. P. Gorgi & Siem Jan (S.J.) Koopman & R. Lit, 2018. "The analysis and forecasting of ATP tennis matches using a high-dimensional dynamic model," Tinbergen Institute Discussion Papers 18-009/III, Tinbergen Institute.
    98. Trapero, Juan R. & Cardós, Manuel & Kourentzes, Nikolaos, 2019. "Quantile forecast optimal combination to enhance safety stock estimation," International Journal of Forecasting, Elsevier, vol. 35(1), pages 239-250.
    99. Piergiorgio Alessandri & Haroon Mumtaz, 2017. "Financial conditions and density forecasts for US output and inflation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 24, pages 66-78, March.
    100. Chiara Perricone, 2013. "Clustering Macroeconomic Variables," CEIS Research Paper 283, Tor Vergata University, CEIS, revised 11 Jun 2013.
    101. Alessandra Canepa, & Karanasos, Menelaos & Paraskevopoulos, Athanasios & Chini, Emilio Zanetti, 2022. "Forecasting Ination: A GARCH-in-Mean-Level Model with Time Varying Predictability," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202212, University of Turin.
    102. Roberto Casarin & Giulia Mantoan & Francesco Ravazzolo, 2016. "Bayesian Calibration of Generalized Pools of Predictive Distributions," Econometrics, MDPI, vol. 4(1), pages 1-24, March.
    103. Waggoner, Daniel F. & Zha, Tao, 2012. "Confronting model misspecification in macroeconomics," Journal of Econometrics, Elsevier, vol. 171(2), pages 167-184.
    104. Caldeira, João F. & Moura, Guilherme V. & Santos, André A.P., 2016. "Predicting the yield curve using forecast combinations," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 79-98.
    105. McAlinn, Kenichiro & West, Mike, 2019. "Dynamic Bayesian predictive synthesis in time series forecasting," Journal of Econometrics, Elsevier, vol. 210(1), pages 155-169.
    106. Markku Lanne & Jani Luoto, 2018. "Data†Driven Identification Constraints for DSGE Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(2), pages 236-258, April.
    107. Francisco (F.) Blasques & Paolo Gorgi & Siem Jan (S.J.) Koopman, 2017. "Accelerating GARCH and Score-Driven Models: Optimality, Estimation and Forecasting," Tinbergen Institute Discussion Papers 17-059/III, Tinbergen Institute.
    108. Liang, Weifang & Liu, Yong, 2023. "Rating Crop Insurance Contracts with Model Stacking of Gaussian Processes," 2023 Annual Meeting, July 23-25, Washington D.C. 335759, Agricultural and Applied Economics Association.
    109. Geoff Kenny & Thomas Kostka & Federico Masera, 2015. "Can Macroeconomists Forecast Risk? Event-Based Evidence from the Euro-Area SPF," International Journal of Central Banking, International Journal of Central Banking, vol. 11(4), pages 1-46, December.
    110. Fawcett, Nicholas & Kapetanios, George & Mitchell, James & Price, Simon, 2014. "Generalised density forecast combinations," Bank of England working papers 492, Bank of England.
    111. Loria, Francesca & Matthes, Christian & Wang, Mu-Chun, 2022. "Economic theories and macroeconomic reality," Journal of Monetary Economics, Elsevier, vol. 126(C), pages 105-117.
    112. Blasques, F. & Gorgi, P. & Koopman, S.J., 2019. "Accelerating score-driven time series models," Journal of Econometrics, Elsevier, vol. 212(2), pages 359-376.
    113. Knut Are Aastveit & Francesco Ravazzolo & Herman K. van Dijk, 2018. "Combined Density Nowcasting in an Uncertain Economic Environment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 131-145, January.
    114. Xu Cheng & Bruce E. Hansen, 2012. "Forecasting with Factor-Augmented Regression: A Frequentist Model Averaging Approach, Second Version," PIER Working Paper Archive 13-061, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 03 Sep 2013.
    115. Zhao, Weigang & Wang, Jianzhou & Lu, Haiyan, 2014. "Combining forecasts of electricity consumption in China with time-varying weights updated by a high-order Markov chain model," Omega, Elsevier, vol. 45(C), pages 80-91.
    116. Filippo di Mauro & Filippo di Mauro, Fabio Fornari, 2014. "Going granular: The importance of firm-level equity information in anticipating economic activity," EcoMod2014 6809, EcoMod.
    117. Beckmann, Joscha & Schüssler, Rainer, 2016. "Forecasting exchange rates under parameter and model uncertainty," Journal of International Money and Finance, Elsevier, vol. 60(C), pages 267-288.
    118. Paolo Gorgi & Siem Jan Koopman, 2020. "Beta observation-driven models with exogenous regressors: a joint analysis of realized correlation and leverage effects," Tinbergen Institute Discussion Papers 20-004/III, Tinbergen Institute.
    119. Thorey, J. & Chaussin, C. & Mallet, V., 2018. "Ensemble forecast of photovoltaic power with online CRPS learning," International Journal of Forecasting, Elsevier, vol. 34(4), pages 762-773.
    120. Giovanni Angelini & Paolo Gorgi, 2018. "DSGE Models with Observation-Driven Time-Varying parameters," Tinbergen Institute Discussion Papers 18-030/III, Tinbergen Institute.
    121. Shaun P Vahey & Elizabeth C Wakerly, 2013. "Moving towards probability forecasting," BIS Papers chapters, in: Bank for International Settlements (ed.), Globalisation and inflation dynamics in Asia and the Pacific, volume 70, pages 3-8, Bank for International Settlements.
    122. Krüger, Fabian & Nolte, Ingmar, 2016. "Disagreement versus uncertainty: Evidence from distribution forecasts," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 172-186.
    123. Hirano, Keisuke & Wright, Jonathan H., 2022. "Analyzing cross-validation for forecasting with structural instability," Journal of Econometrics, Elsevier, vol. 226(1), pages 139-154.
    124. Daniele Bianchi & Kenichiro McAlinn, 2018. "Large-Scale Dynamic Predictive Regressions," Papers 1803.06738, arXiv.org.
    125. Yusupova, Alisa & Pavlidis, Nicos G. & Pavlidis, Efthymios G., 2023. "Dynamic linear models with adaptive discounting," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1925-1944.
    126. Anne Opschoor & Dick van Dijk & Michel van der Wel, 2014. "Improving Density Forecasts and Value-at-Risk Estimates by Combining Densities," Tinbergen Institute Discussion Papers 14-090/III, Tinbergen Institute.
    127. Geoff Kenny & Thomas Kostka & Federico Masera, 2011. "How Informative are the Subjective Density Forecasts of Macroeconomists?," CESifo Working Paper Series 3671, CESifo.
    128. Angelini, Giovanni & Gorgi, Paolo, 2018. "DSGE Models with observation-driven time-varying volatility," Economics Letters, Elsevier, vol. 171(C), pages 169-171.
    129. Gorgi, Paolo & Koopman, Siem Jan & Li, Mengheng, 2019. "Forecasting economic time series using score-driven dynamic models with mixed-data sampling," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1735-1747.
    130. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    131. di Mauro, Filippo & Fornari, Fabio & Mannucci, Dario, 2011. "Stock market firm-level information and real economic activity," Working Paper Series 1366, European Central Bank.
    132. Hasumi, Ryo & Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Nakamura, Daisuke, 2019. "Does a financial accelerator improve forecasts during financial crises? Evidence from Japan with prediction-pooling methods," Journal of Asian Economics, Elsevier, vol. 60(C), pages 45-68.
    133. G. Kenny, 2014. "Comment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 32(4), pages 500-504, October.
    134. Kourentzes, Nikolaos & Barrow, Devon & Petropoulos, Fotios, 2019. "Another look at forecast selection and combination: Evidence from forecast pooling," International Journal of Production Economics, Elsevier, vol. 209(C), pages 226-235.
    135. Martin Feldkircher & Nico Hauzenberger, 2019. "How useful are time-varying parameter models for forecasting economic growth in CESEE?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1/19, pages 29-48.
    136. Roberto Leon-Gonzalez & Blessings Majoni, 2023. "Exact Likelihood for Inverse Gamma Stochastic Volatility Models," Working Paper series 23-11, Rimini Centre for Economic Analysis.
    137. Ryan Cumings-Menon & Minchul Shin, 2020. "Probability Forecast Combination via Entropy Regularized Wasserstein Distance," Working Papers 20-31/R, Federal Reserve Bank of Philadelphia.
    138. Wada, Tatsuma, 2022. "Out-of-sample forecasting of foreign exchange rates: The band spectral regression and LASSO," Journal of International Money and Finance, Elsevier, vol. 128(C).
    139. Gelain, Paolo & Iskrev, Nikolay & J. Lansing, Kevin & Mendicino, Caterina, 2019. "Inflation dynamics and adaptive expectations in an estimated DSGE model," Journal of Macroeconomics, Elsevier, vol. 59(C), pages 258-277.
    140. Niko Hauzenberger & Florian Huber & Karin Klieber, 2020. "Real-time Inflation Forecasting Using Non-linear Dimension Reduction Techniques," Papers 2012.08155, arXiv.org, revised Dec 2021.
    141. Hasumi, Ryo & Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Nakamura, Daisuke, 2018. "Does a financial accelerator improve forecasts during financial crises?: Evidence from Japan with Prediction Pool Methods," MPRA Paper 85523, University Library of Munich, Germany.
    142. Gong, Xiao-Li & Liu, Xi-Hua & Xiong, Xiong & Zhuang, Xin-Tian, 2019. "Non-Gaussian VARMA model with stochastic volatility and applications in stock market bubbles," Chaos, Solitons & Fractals, Elsevier, vol. 121(C), pages 129-136.
    143. Graziano Moramarco, 2021. "Regime-Switching Density Forecasts Using Economists' Scenarios," Papers 2110.13761, arXiv.org, revised Feb 2024.
    144. Tsionas, Mike G., 2022. "Random and Markov switching exponential smoothing models," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    145. Fabian Krüger & Ingmar Nolte, 2011. "Disagreement, Uncertainty and the True Predictive Density," Working Paper Series of the Department of Economics, University of Konstanz 2011-43, Department of Economics, University of Konstanz.
    146. Canepa, Alessandra & Zanetti Chini, Emilio & Alqaralleh, Huthaifa, 2020. "Global Cities and Local Challenges: Booms and Busts in the London Real Estate Market," Department of Economics and Statistics Cognetti de Martiis. Working Papers 202011, University of Turin.
    147. Li, Yong & Yu, Jun & Zeng, Tao, 2020. "Deviance information criterion for latent variable models and misspecified models," Journal of Econometrics, Elsevier, vol. 216(2), pages 450-493.
    148. Kenichiro McAlinn & Kosaku Takanashi, 2019. "Mean-shift least squares model averaging," Papers 1912.01194, arXiv.org.
    149. Pauwels, Laurent L. & Vasnev, Andrey L., 2016. "A note on the estimation of optimal weights for density forecast combinations," International Journal of Forecasting, Elsevier, vol. 32(2), pages 391-397.
    150. McAdam, Peter & Warne, Anders, 2018. "Euro area real-time density forecasting with financial or labor market frictions," Working Paper Series 2140, European Central Bank.
    151. Feng Li & Mattias Villani, 2013. "Efficient Bayesian Multivariate Surface Regression," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 40(4), pages 706-723, December.
    152. Pauwels, Laurent, 2019. "Predicting China’s Monetary Policy with Forecast Combinations," Working Papers BAWP-2019-07, University of Sydney Business School, Discipline of Business Analytics.
    153. Knut Are Aastveit & James Mitchell & Francesco Ravazzolo & Herman van Dijk, 2018. "The Evolution of Forecast Density Combinations in Economics," Tinbergen Institute Discussion Papers 18-069/III, Tinbergen Institute.
    154. Chen, Yizhong & He, Li & Li, Jing & Cheng, Xi & Lu, Hongwei, 2016. "An inexact bi-level simulation–optimization model for conjunctive regional renewable energy planning and air pollution control for electric power generation systems," Applied Energy, Elsevier, vol. 183(C), pages 969-983.
    155. Anatolyev, Stanislav & Khabibullin, Renat & Prokhorov, Artem, 2014. "An algorithm for constructing high dimensional distributions from distributions of lower dimension," Economics Letters, Elsevier, vol. 123(3), pages 257-261.
    156. Roberto Casarin & Domenico Sartore & Marco Tronzano, 2018. "A Bayesian Markov-Switching Correlation Model for Contagion Analysis on Exchange Rate Markets," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 101-114, January.
    157. Martina Hengge, 2019. "Uncertainty as a Predictor of Economic Activity," IHEID Working Papers 19-2019, Economics Section, The Graduate Institute of International Studies.
    158. Risse, Marian & Ohl, Ludwig, 2017. "Using dynamic model averaging in state space representation with dynamic Occam’s window and applications to the stock and gold market," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 158-176.
    159. Joffre Swait & Fred Feinberg, 2014. "Deciding how to decide: an agenda for multi-stage choice modelling research in marketing," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 26, pages 649-660, Edward Elgar Publishing.
    160. Sean Langcake & Tim Robinson, 2013. "An Empirical BVAR-DSGE Model of the Australian Economy," RBA Research Discussion Papers rdp2013-07, Reserve Bank of Australia.
    161. Silvia Figini & Roberto Savona & Marika Vezzoli, 2016. "Corporate Default Prediction Model Averaging: A Normative Linear Pooling Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(1-2), pages 6-20, January.
    162. Chung, Tsz-Kin & Iiboshi, Hirokuni, 2015. "Prediction of Term Structure with Potentially Misspecified Macro-Finance Models near the Zero Lower Bound," MPRA Paper 85709, University Library of Munich, Germany.
    163. Fabio Busetti, 2017. "Quantile Aggregation of Density Forecasts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(4), pages 495-512, August.
    164. Christian Kascha & Francesco Ravazzolo, 2008. "Combining inflation density forecasts," Working Paper 2008/22, Norges Bank.
    165. Adam Check & Jeremy Piger, 2021. "Structural Breaks in U.S. Macroeconomic Time Series: A Bayesian Model Averaging Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(8), pages 1999-2036, December.
    166. Elliott, Graham & Gargano, Antonio & Timmermann, Allan, 2013. "Complete subset regressions," Journal of Econometrics, Elsevier, vol. 177(2), pages 357-373.
    167. Anthony Garratt & Ivan Petrella, 2022. "Commodity prices and inflation risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(2), pages 392-414, March.
    168. Bańbura, Marta & Brenna, Federica & Paredes, Joan & Ravazzolo, Francesco, 2021. "Combining Bayesian VARs with survey density forecasts: does it pay off?," Working Paper Series 2543, European Central Bank.
    169. Elliott, Graham & Timmermann, Allan G, 2016. "Forecasting in Economics and Finance," University of California at San Diego, Economics Working Paper Series qt6z55v472, Department of Economics, UC San Diego.
    170. Cross, Jamie & Poon, Aubrey, 2016. "Forecasting structural change and fat-tailed events in Australian macroeconomic variables," Economic Modelling, Elsevier, vol. 58(C), pages 34-51.
    171. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
    172. Panayotis Michaelides & Mike Tsionas & Panos Xidonas, 2020. "A Bayesian Signals Approach for the Detection of Crises," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(3), pages 551-585, September.
    173. Allan Timmermann, 2018. "Forecasting Methods in Finance," Annual Review of Financial Economics, Annual Reviews, vol. 10(1), pages 449-479, November.
    174. Enrique Moral-Benito, 2015. "Model Averaging In Economics: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 46-75, February.
    175. Saurabh Bansal & Genaro J. Gutierrez, 2020. "Estimating Uncertainties Using Judgmental Forecasts with Expert Heterogeneity," Operations Research, INFORMS, vol. 68(2), pages 363-380, March.
    176. Nikolay Gospodinov & Esfandiar Maasoumi, 2017. "General Aggregation of Misspecified Asset Pricing Models," FRB Atlanta Working Paper 2017-10, Federal Reserve Bank of Atlanta.
    177. Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
    178. Ciccarelli, Matteo & Darracq Pariès, Matthieu & Priftis, Romanos & Angelini, Elena & Bańbura, Marta & Bokan, Nikola & Fagan, Gabriel & Gumiel, José Emilio & Kornprobst, Antoine & Lalik, Magdalena & Mo, 2024. "ECB macroeconometric models for forecasting and policy analysis," Occasional Paper Series 344, European Central Bank.
    179. Markus Heinrich & Magnus Reif, 2020. "Real-Time Forecasting Using Mixed-Frequency VARS with Time-Varying Parameters," CESifo Working Paper Series 8054, CESifo.
    180. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2013. "Predictive likelihood comparisons with DSGE and DSGE-VAR models," Working Paper Series 1536, European Central Bank.
    181. Andrés Ramírez-Hassan, 2020. "Dynamic variable selection in dynamic logistic regression: an application to Internet subscription," Empirical Economics, Springer, vol. 59(2), pages 909-932, August.
    182. Iiboshi, Hirokuni, 2016. "A multiple DSGE-VAR approach: Priors from a combination of DSGE models and evidence from Japan," Japan and the World Economy, Elsevier, vol. 40(C), pages 1-8.
    183. Ard Reijer & Andreas Johansson, 2019. "Nowcasting Swedish GDP with a large and unbalanced data set," Empirical Economics, Springer, vol. 57(4), pages 1351-1373, October.
    184. Gospodinov, Nikolay & Maasoumi, Esfandiar, 2021. "Generalized aggregation of misspecified models: With an application to asset pricing," Journal of Econometrics, Elsevier, vol. 222(1), pages 451-467.
    185. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2021. "Bridging the Divide? Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP082021, School of Economics, University of Queensland, Australia.
    186. K=osaku Takanashi & Kenichiro McAlinn, 2019. "Equivariant online predictions of non-stationary time series," Papers 1911.08662, arXiv.org, revised Jun 2023.
    187. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2019. "Density Forecasting," BEMPS - Bozen Economics & Management Paper Series BEMPS59, Faculty of Economics and Management at the Free University of Bozen.
    188. Paolo Vidoni, 2018. "A note on predictive densities based on composite likelihood methods," METRON, Springer;Sapienza Università di Roma, vol. 76(1), pages 31-48, April.
    189. McAdam, Peter & Warne, Anders, 2020. "Density forecast combinations: the real-time dimension," Working Paper Series 2378, European Central Bank.
    190. Joscha Beckmann & Rainer Schüssler, 2014. "Forecasting Equity Premia using Bayesian Dynamic Model Averaging," CQE Working Papers 2914, Center for Quantitative Economics (CQE), University of Muenster.
    191. Dimitrakopoulos, Stefanos & Tsionas, Mike G. & Aknouche, Abdelhakim, 2020. "Ordinal-response models for irregularly spaced transactions: A forecasting exercise," MPRA Paper 103250, University Library of Munich, Germany, revised 01 Oct 2020.

  7. John Geweke & Gianni Amisano, 2007. "Hierarchical Markov Normal Mixture Models with Applications to Financial Asset Returns," Working Papers 0705, University of Brescia, Department of Economics.

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    2. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2023. "Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP012023, School of Economics, University of Queensland, Australia.
    3. Goodness C. Aye & Rangan Gupta & Shawkat Hammoudeh & Won Joong Kim, 2014. "Forecasting the Price of Gold Using Dynamic Model Averaging," Working Papers 201415, University of Pretoria, Department of Economics.
    4. Joshua C.C. Chan & Angelia L. Grant, 2016. "Reconciling output gaps: unobserved components model and Hodrick-Prescott filter," CAMA Working Papers 2016-44, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    5. Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2011. "Bayesian Inference in the Time Varying Cointegration Model," Working Papers 1121, University of Strathclyde Business School, Department of Economics.
    6. Joshua C.C. Chan & Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2010. "Time Varying Dimension Models," Working Paper series 44_10, Rimini Centre for Economic Analysis.
    7. Aknouche, Abdelhakim & Almohaimeed, Bader & Dimitrakopoulos, Stefanos, 2020. "Forecasting transaction counts with integer-valued GARCH models," MPRA Paper 101779, University Library of Munich, Germany, revised 11 Jul 2020.
    8. Aknouche, Abdelhakim & Dimitrakopoulos, Stefanos, 2020. "On an integer-valued stochastic intensity model for time series of counts," MPRA Paper 105406, University Library of Munich, Germany.
    9. Jamie L. Cross & Chenghan Hou & Bao H. Nguyen, 2018. "On the China factor in international oil markets: A regime switching approach," Working Papers No 11/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    10. Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022. "Is climate change time reversible?," Papers 2205.07579, arXiv.org, revised Nov 2022.
    11. Fernandes, Mário Correia & Dutra, Tiago Mota & Dias, José Carlos & Teixeira, João C.A., 2023. "Modelling output gaps in the Euro Area with structural breaks: The COVID-19 recession," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 1046-1058.
    12. Dong, Xiyong & Yoon, Seong-Min, 2019. "What global economic factors drive emerging Asian stock market returns? Evidence from a dynamic model averaging approach," Economic Modelling, Elsevier, vol. 77(C), pages 204-215.
    13. Frédérique Bec & Annabelle de Gaye, 2019. "Le modèle autorégressif autorégressif à seuil avec effet rebond : Une application aux rendements boursiers français et américains ," Working Papers hal-02014663, HAL.
    14. John Geweke & Gianni Amisano, 2008. "Optimal Prediction Pools," Working Paper series 22_08, Rimini Centre for Economic Analysis.
    15. David Gunawan & William Griffths & Anatasios Panagiotelis and Duangkamon Chotikapanich, 2017. "Bayesian Weighted Inference from Surveys "Abstract: Data from large surveys are often supplemented with sampling weights that are designed to reflect unequal probabilities of response and selecti," Department of Economics - Working Papers Series 2030, The University of Melbourne.
    16. Amisano, Gianni & Fagan, Gabriel, 2013. "Money growth and inflation: A regime switching approach," Journal of International Money and Finance, Elsevier, vol. 33(C), pages 118-145.
    17. Gary Koop & Dimitris Korobilis, 2012. "Forecasting Inflation Using Dynamic Model Averaging," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 867-886, August.
    18. Joshua C. C. Chan, 2017. "The Stochastic Volatility in Mean Model With Time-Varying Parameters: An Application to Inflation Modeling," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 35(1), pages 17-28, January.
    19. Mehmet Balcilar & Rangan Gupta & Clement Kyei & Mark Wohar, 2015. "Does Economic Policy Uncertainty Predict Exchange Rate Returns and Volatility? Evidence from a Nonparametric Causality-in-Quantiles Test," Working Papers 201599, University of Pretoria, Department of Economics.
    20. Joshua C.C. Chan & Eric Eisenstat, 2015. "Efficient estimation of Bayesian VARMAs with time-varying coefficients," CAMA Working Papers 2015-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    21. Pelenis, Justinas, 2012. "Bayesian Semiparametric Regression," Economics Series 285, Institute for Advanced Studies.
    22. Gao, Shen & Hou, Chenghan & Nguyen, Bao H., 2021. "Forecasting natural gas prices using highly flexible time-varying parameter models," Economic Modelling, Elsevier, vol. 105(C).
    23. Xianguo HUANG & Roberto LEON-GONZALEZ & Somrasri YUPHO, 2013. "Financial Integration from a Time-Varying Cointegration Perspective," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 3(12), pages 1473-1487.
    24. Joshua C.C. Chan & Angelia L. Grant, 2015. "Modeling energy price dynamics: GARCH versus stochastic volatility," CAMA Working Papers 2015-20, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    25. Tsionas, Mike G., 2021. "Bayesian forecasting with the structural damped trend model," International Journal of Production Economics, Elsevier, vol. 234(C).
    26. Fedele, Alessandro & Panteghini, Paolo M. & Vergalli, Sergio, 2010. "Optimal Investment and Financial Strategies under Tax Rate Uncertainty," Institutions and Markets Papers 91001, Fondazione Eni Enrico Mattei (FEEM).
    27. Koop, Gary & Korobilis, Dimitris, 2009. "UK Macroeconomic Forecasting with Many Predictors: Which Models Forecast Best and When Do They Do So?," SIRE Discussion Papers 2009-40, Scottish Institute for Research in Economics (SIRE).
    28. Rangan Gupta & Shawkat Hammoudeh & Won Joong Kim & Beatrice D. Simo-Kengne, 2013. "Forecasting China’s Foreign Exchange Reserves Using Dynamic Model Averaging: The Role of Macroeconomic Fundamentals, Financial Stress and Economic Uncertainty," Working Papers 201338, University of Pretoria, Department of Economics.
    29. Çakmaklı, Cem & Paap, Richard & van Dijk, Dick, 2013. "Measuring and predicting heterogeneous recessions," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2195-2216.
    30. Martin Meier & Enrico Minelli & Herakles Polemarchakis, 2009. "Competitive Markets with Private Information on Both Sides," Working Papers 0917, University of Brescia, Department of Economics.
    31. Jamie L. Cross & Aubrey Poon, 2020. "On the contribution of international shocks in Australian business cycle fluctuations," Empirical Economics, Springer, vol. 59(6), pages 2613-2637, December.
    32. Monica Billio & Roberto Casarin, 2010. "Bayesian Estimation of Stochastic-Transition Markov-Switching Models for Business Cycle Analysis," Working Papers 1002, University of Brescia, Department of Economics.
    33. Joshua C. C. Chan, 2020. "Large Bayesian VARs: A Flexible Kronecker Error Covariance Structure," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 68-79, January.
    34. Mauro Bernardi & Lea Petrella, 2015. "Interconnected Risk Contributions: A Heavy-Tail Approach to Analyze U.S. Financial Sectors," JRFM, MDPI, vol. 8(2), pages 1-29, April.
    35. Rodney W. Strachan & Herman K. Van Dijk, 2013. "Evidence On Features Of A Dsge Business Cycle Model From Bayesian Model Averaging," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(1), pages 385-402, February.
    36. Hou, Chenghan, 2017. "Infinite hidden markov switching VARs with application to macroeconomic forecast," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1025-1043.
    37. Tsionas, Mike G., 2021. "Optimal combinations of stochastic frontier and data envelopment analysis models," European Journal of Operational Research, Elsevier, vol. 294(2), pages 790-800.
    38. Amisano, Gianni & Geweke, John, 2008. "Comparing and evaluating Bayesian predictive distributions of assets returns," Working Paper Series 969, European Central Bank.
    39. Leopoldo Catania & Roberto Di Mari & Paolo Santucci de Magistris, 2019. "Dynamic discrete mixtures for high frequency prices," Discussion Papers 19/05, University of Nottingham, Granger Centre for Time Series Econometrics.
    40. Chan, Joshua C.C., 2013. "Moving average stochastic volatility models with application to inflation forecast," Journal of Econometrics, Elsevier, vol. 176(2), pages 162-172.
    41. Rosella Levaggi & Francesco Menoncin, 2009. "Decentralized provision of merit and impure public goods," Working Papers 0909, University of Brescia, Department of Economics.
    42. Jochmann, Markus & Koop, Gary & Strachan, Rodney W., 2010. "Bayesian forecasting using stochastic search variable selection in a VAR subject to breaks," International Journal of Forecasting, Elsevier, vol. 26(2), pages 326-347, April.
    43. Alberto Bisin & John Geanakoplos & Piero Gottardi & Enrico Minelli & Heracles Polemarchakis, 2009. "Markets and Contracts," Working Papers 0915, University of Brescia, Department of Economics.
    44. Omokolade Akinsomi & Goodness C. Aye & Vassilios Babalos & Fotini Economou & Rangan Gupta, 2016. "Real estate returns predictability revisited: novel evidence from the US REITs market," Empirical Economics, Springer, vol. 51(3), pages 1165-1190, November.
    45. Francesco Menoncin & Paolo Panteghini, 2009. "Retrospective Capital Gains taxation in the real world," Working Papers 0910, University of Brescia, Department of Economics.
    46. Joshua C.C. Chan & Gary Koop, 2013. "Modelling Breaks and Clusters in the Steady States of Macroeconomic Variables," ANU Working Papers in Economics and Econometrics 2013-603, Australian National University, College of Business and Economics, School of Economics.
    47. Bobeica, Elena & Hartwig, Benny, 2023. "The COVID-19 shock and challenges for inflation modelling," International Journal of Forecasting, Elsevier, vol. 39(1), pages 519-539.
    48. Bernardi, Mauro & Maruotti, Antonello & Petrella, Lea, 2017. "Multiple risk measures for multivariate dynamic heavy–tailed models," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 1-32.
    49. Luis A. Gil-Alana & Rangan Gupta & Olusanya E. Olubusoye & OlaOluwa S. Yaya, 2015. "Time Series Analysis of Persistence in Crude Oil Price Volatility across Bull and Bear Regimes," Working Papers 201580, University of Pretoria, Department of Economics.
    50. Hyeyoen Kim & Doojin Ryu, 2013. "Forecasting Exchange Rate from Combination Taylor Rule Fundamental," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(S4), pages 81-92, September.
    51. Bai, Jushan & Wang, Peng, 2011. "Conditional Markov chain and its application in economic time series analysis," MPRA Paper 33369, University Library of Munich, Germany.
    52. Alessandra Del Boca & Michele Fratianni & Franco Spinelli & Carmine Trecroci, 2009. "The Phillips curve and the Italian lira, 1861-1998," Working Papers 0908, University of Brescia, Department of Economics.
    53. Anderson, Richard G. & Binner, Jane M. & Schmidt, Vincent A., 2012. "Connectionist-based rules describing the pass-through of individual goods prices into trend inflation in the United States," Economics Letters, Elsevier, vol. 117(1), pages 174-177.
    54. Madison Terrell & Qazi Haque & Jamie L. Cross & Firmin Doko Tchatoka, 2023. "Monetary policy shocks and exchange rate dynamics in small open economies," School of Economics and Public Policy Working Papers 2023-04 Classification-C3, University of Adelaide, School of Economics and Public Policy.
    55. Yin-Wong Cheung & Sang-Kuck Chung, 2011. "A Long Memory Model with Normal Mixture GARCH," Computational Economics, Springer;Society for Computational Economics, vol. 38(4), pages 517-539, November.
    56. Amedeo Fossati & Rosella Levaggi, 2008. "Delay is not the answer: waiting time in health care & income redistribution," Working Papers 0801, University of Brescia, Department of Economics.
    57. Jan Prüser, 2021. "Forecasting US inflation using Markov dimension switching," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 481-499, April.
    58. Roberto Leon-Gonzalez & Blessings Majoni, 2023. "Exact Likelihood for Inverse Gamma Stochastic Volatility Models," Working Paper series 23-11, Rimini Centre for Economic Analysis.
    59. Pelenis, Justinas, 2014. "Bayesian regression with heteroscedastic error density and parametric mean function," Journal of Econometrics, Elsevier, vol. 178(P3), pages 624-638.
    60. Jeff Fleming & Chris Kirby, 2013. "Component-Driven Regime-Switching Volatility," Journal of Financial Econometrics, Oxford University Press, vol. 11(2), pages 263-301, March.
    61. Xiong, Yingge & Tobias, Justin L. & Mannering, Fred L., 2014. "The analysis of vehicle crash injury-severity data: A Markov switching approach with road-segment heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 67(C), pages 109-128.
    62. Joshua C. C. Chan, 2019. "Large Bayesian vector autoregressions," CAMA Working Papers 2019-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    63. Alessandro Fedele & Raffaele Miniaci, 2010. "Do Social Enterprises Finance Their Investments Differently from For-profit Firms? The Case of Social Residential Services in Italy," Journal of Social Entrepreneurship, Taylor & Francis Journals, vol. 1(2), pages 174-189, October.
    64. Catania, Leopoldo & Di Mari, Roberto, 2021. "Hierarchical Markov-switching models for multivariate integer-valued time-series," Journal of Econometrics, Elsevier, vol. 221(1), pages 118-137.
    65. d’Addona, Stefano & Khanom, Najrin, 2022. "Estimating tail-risk using semiparametric conditional variance with an application to meme stocks," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 241-260.
    66. Jianxi Su & Edward Furman, 2016. "Multiple risk factor dependence structures: Distributional properties," Papers 1607.04739, arXiv.org.
    67. Luis Uzeda, 2022. "State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models," Advances in Econometrics, in: Essays in Honour of Fabio Canova, volume 44, pages 25-53, Emerald Group Publishing Limited.
    68. Joshua C.C. Chan & Eric Eisenstat, 2013. "Gibbs Samplers for VARMA and Its Extensions," ANU Working Papers in Economics and Econometrics 2013-604, Australian National University, College of Business and Economics, School of Economics.
    69. Chen, Bin & Hong, Yongmiao, 2014. "A unified approach to validating univariate and multivariate conditional distribution models in time series," Journal of Econometrics, Elsevier, vol. 178(P1), pages 22-44.
    70. Alessandro Fedele & Francesco Liucci & Andrea Mantovani, 2009. "Credit availability in the crisis: the European investment bank group," Working Papers 0913, University of Brescia, Department of Economics.
    71. Byrne, Joseph & Fu, Rong, 2016. "Stock Return Prediction with Fully Flexible Models and Coefficients," MPRA Paper 75366, University Library of Munich, Germany.
    72. Holzmann, Hajo & Schwaiger, Florian, 2016. "Testing for the number of states in hidden Markov models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 318-330.
    73. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2013. "Historical Developments in Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 13-191/III, Tinbergen Institute.
    74. Michael O’Grady, 2019. "Estimating the Output, Inflation and Unemployment Gaps in Ireland using Bayesian Model Averaging," The Economic and Social Review, Economic and Social Studies, vol. 50(1), pages 35-76.
    75. Jamie L. Cross & Chenghan Hou & Aubrey Poon, 2018. "International Transmission of Macroeconomic Uncertainty in Small Open Economies: An Empirical Approach," Working Papers No 12/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    76. Gao, Shen & Hou, Chenghan & Nguyen, Bao H., 2020. "Forecasting natural gas prices using highly flexible time-varying parameter models," Working Papers 2020-01, University of Tasmania, Tasmanian School of Business and Economics.
    77. Gefang, Deborah, 2014. "Bayesian doubly adaptive elastic-net Lasso for VAR shrinkage," International Journal of Forecasting, Elsevier, vol. 30(1), pages 1-11.
    78. Aijun Yang & Ju Xiang & Lianjie Shu & Hongqiang Yang, 2018. "Sparse Bayesian Variable Selection with Correlation Prior for Forecasting Macroeconomic Variable using Highly Correlated Predictors," Computational Economics, Springer;Society for Computational Economics, vol. 51(2), pages 323-338, February.
    79. Nieto, Maria Rosa & Ruiz, Esther, 2016. "Frontiers in VaR forecasting and backtesting," International Journal of Forecasting, Elsevier, vol. 32(2), pages 475-501.
    80. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.
    81. Gianni Amisano & Roberta Colavecchio, 2013. "Money Growth and Inflation: evidence from a Markov Switching Bayesian VAR," Macroeconomics and Finance Series 201304, University of Hamburg, Department of Socioeconomics.
    82. Taamouti, Abderrahim, 2012. "Moments of multivariate regime switching with application to risk-return trade-off," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 292-308.
    83. Aubrey Poon, 2018. "Assessing the Synchronicity and Nature of Australian State Business Cycles," The Economic Record, The Economic Society of Australia, vol. 94(307), pages 372-390, December.
    84. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2021. "Bridging the Divide? Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP082021, School of Economics, University of Queensland, Australia.
    85. BenSaïda, Ahmed, 2015. "The frequency of regime switching in financial market volatility," Journal of Empirical Finance, Elsevier, vol. 32(C), pages 63-79.

  8. Geweke, John & Keane, Michael, 2005. "Bayesian Cross-Sectional Analysis of the Conditional Distribution of Earnings of Men in the United States, 1967-1996: Appendices," MPRA Paper 54286, University Library of Munich, Germany.

    Cited by:

    1. Huffman, Wallace E. & Huffman, Sonya K & Tegene, Abebayehu & Rickertsen, Kyrre, 2006. "The Economics of Obesity-Related Mortality Among High Income Countries," ISU General Staff Papers 200601010800001222, Iowa State University, Department of Economics.

  9. Geweke, John & Keane, Michael, 2005. "Bayesian Cross-Sectional Analysis of the Conditional Distribution of Earnings of Men in the United States, 1967-1996," MPRA Paper 54281, University Library of Munich, Germany.

    Cited by:

    1. Huffman, Wallace E. & Huffman, Sonya K & Tegene, Abebayehu & Rickertsen, Kyrre, 2006. "The Economics of Obesity-Related Mortality Among High Income Countries," ISU General Staff Papers 200601010800001222, Iowa State University, Department of Economics.
    2. Huffman, Wallace E. & Huffman, Sonya K. & Rickertsen, Kyrre & Tegene, Abebayehu, 2010. "Over-Nutrition and Changing Health Status in High Income Countries," ISU General Staff Papers 201001010800001195, Iowa State University, Department of Economics.
    3. Huffman, Wallace E., 2009. "Technology and innovation in world agriculture: prospects for 2010-2019," ISU General Staff Papers 200908310700001135, Iowa State University, Department of Economics.

  10. John Geweke & Gautam Gowrisankaran & Robert J. Town, 2002. "Bayesian inference for hospital quality in a selection model," Working Paper Series 2002-18, Federal Reserve Bank of San Francisco.

    Cited by:

    1. Laurent Gobillon & Carine Milcent, 2013. "Spatial disparities in hospital performance," PSE-Ecole d'économie de Paris (Postprint) halshs-00879787, HAL.
    2. Jonathan Gruber & Samuel A. Kleiner, 2010. "Do Strikes Kill? Evidence from New York State," NBER Working Papers 15855, National Bureau of Economic Research, Inc.
    3. Minke Remmerswaal & Jan Boone, 2020. "A Structural Microsimulation Model for Demand-Side Cost-Sharing in Healthcare," CPB Discussion Paper 415, CPB Netherlands Bureau for Economic Policy Analysis.
    4. Torsten Oliver Salge & David Antons & Michael Barrett & Rajiv Kohli & Eivor Oborn & Stavros Polykarpou, 2022. "How IT Investments Help Hospitals Gain and Sustain Reputation in the Media: The Role of Signaling and Framing," Information Systems Research, INFORMS, vol. 33(1), pages 110-130, March.
    5. Karen Eggleston & Yu‐Chu Shen & Joseph Lau & Christopher H. Schmid & Jia Chan, 2008. "Hospital ownership and quality of care: what explains the different results in the literature?," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1345-1362, December.
    6. Doyle Jr., Joseph J. & Ewer, Steven M. & Wagner, Todd H., 2010. "Returns to physician human capital: Evidence from patients randomized to physician teams," Journal of Health Economics, Elsevier, vol. 29(6), pages 866-882, December.
    7. Du Juan, 2012. "Formal and Informal Care: An Empirical Bayesian Analysis Using the Two-part Model," Forum for Health Economics & Policy, De Gruyter, vol. 15(2), pages 1-42, November.
    8. Aakvik, Arild & Holmås, Tor Helge, 2005. "Access to Primary Health Care and Health Outcomes: The Relationships between GP Characteristics and Mortality Rates," Working Papers in Economics 16/05, University of Bergen, Department of Economics.
    9. Jan Willem Nijenhuis, 2021. "Estimation of ordered probit model with endogenous switching between two latent regimes," 2021 Stata Conference 22, Stata Users Group.
    10. Didier Nibbering, 2023. "A High-dimensional Multinomial Logit Model," Monash Econometrics and Business Statistics Working Papers 19/23, Monash University, Department of Econometrics and Business Statistics.
    11. Aberham Darge & Jema Haji & Fekadu Beyene & Mengistu Ketema, 2023. "Smallholder Farmers’ Climate Change Adaptation Strategies in the Ethiopian Rift Valley: The Case of Home Garden Agroforestry Systems in the Gedeo Zone," Sustainability, MDPI, vol. 15(11), pages 1-19, June.
    12. Carine Milcent, 2005. "Hospital Ownership, Reimbursement Systems and Mortality Rates," Post-Print halshs-00754053, HAL.
    13. Badi H. Baltagi & Yin-Fang Yen, 2014. "Hospital Treatment Rates and Spill-Over Effects: Does Ownership Matter?," Center for Policy Research Working Papers 165, Center for Policy Research, Maxwell School, Syracuse University.
    14. Giuseppe Moscelli & Hugh Gravelle & Luigi Siciliani, 2016. "Market structure, patient choice and hospital quality for elective patients," Working Papers 139cherp, Centre for Health Economics, University of York.
    15. Alfons Palangkaraya & Jongsay Yong, 2009. "Hospital Markets and the Effect of Competition on Quality," Melbourne Institute Working Paper Series wp2009n17, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    16. Contreras Juan & Patel Elena & Tristao Ignez, 2013. "Production Factors, Productivity Dynamics and Quality Gains as Determinants of Healthcare Spending Growth in U.S. Hospitals," Working Papers 2013-13, Banco de México.
    17. Patrick J. Bayer & Stephen L. Ross, 2010. "Identifying Individual and Group Effects in the Presence of Sorting: A Neighborhood Effects Application," Working Papers 10-50, Duke University, Department of Economics.
    18. John A. Romley & Neeraj Sood, 2013. "Identifying the Health Production Function: The Case of Hospitals," NBER Working Papers 19490, National Bureau of Economic Research, Inc.
    19. Andrew T. Ching & Fumiko Hayashi & Hui Wang, 2015. "Quantifying The Impacts Of Limited Supply: The Case Of Nursing Homes," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1291-1322, November.
    20. Adhvaryu, Achyuta & Nyshadham, Anant, 2011. "Healthcare Choices, Information and Health Outcomes," Working Papers 88, Yale University, Department of Economics.
    21. Marco D. Huesch & Mariko Sakakibara, 2009. "Forgetting the learning curve for a moment: how much performance is unrelated to own experience?," Health Economics, John Wiley & Sons, Ltd., vol. 18(7), pages 855-862, July.
    22. Munkin, Murat K. & Trivedi, Pravin K., 2008. "Bayesian analysis of the ordered probit model with endogenous selection," Journal of Econometrics, Elsevier, vol. 143(2), pages 334-348, April.
    23. Patrick Bajari, 2003. "Comment," Quantitative Marketing and Economics (QME), Springer, vol. 1(3), pages 277-283, September.
    24. D. Fabbri & C. Monfardini, 2006. "Style of practice and assortative mating: a recursive probit analysis of cesarean section scheduling in Italy," Working Papers 557, Dipartimento Scienze Economiche, Universita' di Bologna.
    25. D. Fabbri & C. Monfardini & R. Radice, 2004. "Testing exogeneity in the bivariate probit model: Monte Carlo evidence and an application to health economics," Working Papers 514, Dipartimento Scienze Economiche, Universita' di Bologna.
    26. Arild Aakvik, 2004. "The Relationship Between Economic Conditions, Access to Health Care, and Health Outcomes," Econometric Society 2004 Australasian Meetings 34, Econometric Society.
    27. Martin Gaynor & Carol Propper & Stephan Seiler, 2012. "Free to Choose? Reform and Demand Response in the English National Health Service," CEP Discussion Papers dp1179, Centre for Economic Performance, LSE.
    28. Johar, Meliyanni, 2012. "Do doctors charge high income patients more?," Economics Letters, Elsevier, vol. 117(3), pages 596-599.
    29. Bar, M.; & Bakx, P.; & Wouterse, B.; & van Doorslaer, Eddy.;, 2022. "Estimating the health value added by nursing homes," Health, Econometrics and Data Group (HEDG) Working Papers 22/12, HEDG, c/o Department of Economics, University of York.
    30. John A. Romley & Dana P. Goldman, 2011. "How Costly is Hospital Quality? A Revealed‐Preference Approach," Journal of Industrial Economics, Wiley Blackwell, vol. 59(4), pages 578-608, December.
    31. Dana Goldman & John A. Romley, 2008. "Hospitals As Hotels: The Role of Patient Amenities in Hospital Demand," NBER Working Papers 14619, National Bureau of Economic Research, Inc.
    32. Gutacker, Nils & Siciliani, Luigi & Moscelli, Giuseppe & Gravelle, Hugh, 2016. "Choice of hospital: Which type of quality matters?," Journal of Health Economics, Elsevier, vol. 50(C), pages 230-246.
    33. Machado, Matilde P. & Mora, Ricardo & Romero-Medina, Antonio, 2006. "A methodology to measure hospital quality using physicians' choices over training vacancies," UC3M Working papers. Economics we060201, Universidad Carlos III de Madrid. Departamento de Economía.
    34. Laurent Gobillon & Carine Milcent, 2013. "Spatial disparities in hospital performance," PSE - Labex "OSE-Ouvrir la Science Economique" halshs-00879787, HAL.
    35. Jacob Novignon & Solomon Olakojo & Justice Nonvignon, 2012. "The effects of public and private health care expenditure on health status in sub-Saharan Africa: new evidence from panel data analysis," Health Economics Review, Springer, vol. 2(1), pages 1-8, December.
    36. Craig Garthwaite & Christopher Ody & Amanda Starc, 2020. "Endogenous Quality Investments in the U.S. Hospital Market," NBER Working Papers 27440, National Bureau of Economic Research, Inc.
    37. Martin Gaynor & Robert J. Town, 2011. "Competition in Health Care Markets," NBER Working Papers 17208, National Bureau of Economic Research, Inc.
    38. Nils Gutacker & Andrew Street, 2018. "Multidimensional performance assessment of public sector organisations using dominance criteria," Health Economics, John Wiley & Sons, Ltd., vol. 27(2), pages 13-27, February.
    39. Mariana Laverde & Elton Mykerezi & Aaron Sojourner & Aradhya Sood, 2023. "Gains from Reassignment: Evidence from A Two-Sided Teacher Market," Upjohn Working Papers 23-392, W.E. Upjohn Institute for Employment Research.
    40. Anup Malani & Tomas Philipson & Guy David, 2003. "Theories of Firm Behavior in the Nonprofit Sector. A Synthesis and Empirical Evaluation," NBER Chapters, in: The Governance of Not-for-Profit Organizations, pages 181-216, National Bureau of Economic Research, Inc.
    41. Matilde P. Machado & Ricardo Mora & Antonio Romero-Medina, 2012. "Can We Infer Hospital Quality From Medical Graduates’ Residency Choices?," Journal of the European Economic Association, European Economic Association, vol. 10(6), pages 1400-1424, December.
    42. Jason Abaluck & Mauricio Caceres Bravo & Peter Hull & Amanda Starc, 2020. "Mortality Effects and Choice Across Private Health Insurance Plans," Working Papers 2020-108, Becker Friedman Institute for Research In Economics.
    43. Garthwaite, Craig & Ody, Christopher & Starc, Amanda, 2022. "Endogenous quality investments in the U.S. hospital market," Journal of Health Economics, Elsevier, vol. 84(C).
    44. AfDB AfDB, 2007. "Working Paper 91 - Health Expenditures and Health Outcomes in Africa," Working Paper Series 2304, African Development Bank.
    45. Laudicella, Mauro & Li Donni, Paolo & Smith, Peter C., 2013. "Hospital readmission rates: Signal of failure or success?," Journal of Health Economics, Elsevier, vol. 32(5), pages 909-921.
    46. Chen, Xiaohong & Hong, Han & Shum, Matthew, 2007. "Nonparametric likelihood ratio model selection tests between parametric likelihood and moment condition models," Journal of Econometrics, Elsevier, vol. 141(1), pages 109-140, November.
    47. Park, Minjung, 2013. "Understanding merger incentives and outcomes in the US mutual fund industry," Journal of Banking & Finance, Elsevier, vol. 37(11), pages 4368-4380.
    48. Giuseppe Moscelli & Hugh Gravelle & Luigi Siciliani, 2021. "Hospital competition and quality for non‐emergency patients in the English NHS," RAND Journal of Economics, RAND Corporation, vol. 52(2), pages 382-414, June.
    49. Yijuan Chen & Juergen Meinecke & Peter Sivey, 2016. "A Theory of Waiting Time Reporting and Quality Signaling," Health Economics, John Wiley & Sons, Ltd., vol. 25(11), pages 1355-1371, November.
    50. Munkin M & Trivedi P. K, 2009. "Incentives and Selection Effects of Drug Coverage on Total Drug Expenditure: a Finite Mixture Approach," Health, Econometrics and Data Group (HEDG) Working Papers 09/22, HEDG, c/o Department of Economics, University of York.
    51. Laurent Gobillon & Carine Milcent, 2008. "Regional disparities in mortality by heart attack: evidence from France," Working Papers halshs-00586837, HAL.
    52. John Geweke & Gautam Gowrisankaran & Robert J. Town, 2001. "Bayesian Inference for Hospital Quality in a Selection Model," NBER Working Papers 8497, National Bureau of Economic Research, Inc.
    53. John P. Burkett, 2005. "The Labor Supply of Nurses and Nursing Assistants in the United States," Eastern Economic Journal, Eastern Economic Association, vol. 31(4), pages 585-599, Fall.
    54. Bär, Marlies & Bakx, Pieter & Wouterse, Bram & van Doorslaer, Eddy, 2022. "Estimating the health value added by nursing homes," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 1-23.
    55. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
    56. Andrew J. Epstein & Jonathan D. Ketcham, 2014. "Information technology and agency in physicians' prescribing decisions," RAND Journal of Economics, RAND Corporation, vol. 45(2), pages 422-448, June.
    57. Adam Kapor & Mohit Karnani & Christopher Neilson, 2022. "Aftermarket Frictions and the Cost of Off-Platform Options in Centralized Assignment Mechanisms," Working Papers 2022-24, Princeton University. Economics Department..
    58. Joseph J. Doyle, Jr. & Steven M. Ewer & Todd H. Wagner, 2008. "Returns to Physician Human Capital: Analyzing Patients Randomized to Physician Teams," NBER Working Papers 14174, National Bureau of Economic Research, Inc.
    59. Mehdi Farsi & Geert Ridder, 2006. "Estimating the out‐of‐hospital mortality rate using patient discharge data," Health Economics, John Wiley & Sons, Ltd., vol. 15(9), pages 983-995, September.
    60. Damien Echevin & Bernard Fortin & Aristide Houndetoungan, 2024. "Healthcare Quality by Specialists under a Mixed Compensation System: an Empirical Analysis," Papers 2402.04472, arXiv.org.
    61. Yu, Serena & Fiebig, Denzil G. & Viney, Rosalie & Scarf, Vanessa & Homer, Caroline, 2022. "Private provider incentives in health care: The case of caesarean births," Social Science & Medicine, Elsevier, vol. 294(C).
    62. Murat K. Munkin & Pravin K. Trivedi, 2010. "Disentangling incentives effects of insurance coverage from adverse selection in the case of drug expenditure: a finite mixture approach," Health Economics, John Wiley & Sons, Ltd., vol. 19(9), pages 1093-1108, September.
    63. Partha Deb & Murat K. Munkin & Pravin K. Trivedi, 2006. "Bayesian analysis of the two‐part model with endogeneity: application to health care expenditure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1081-1099, November.
    64. Laurie Rachet-Jacquet & Nils Gutacker & Luigi Siciliani, 2019. "The causal effect of hospital volume on health gains from hip replacement surgery," Working Papers 168cherp, Centre for Health Economics, University of York.
    65. Ejsmont Wiktor & Łyko Janusz, 2020. "Health Value Added of Healthcare Entities," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 24(3), pages 51-58, September.
    66. Samuel Watson & Wiji Arulampalam & Stavros Petrou & on behalf of NESCOP, 2017. "The effect of health care expenditure on patient outcomes: Evidence from English neonatal care," Health Economics, John Wiley & Sons, Ltd., vol. 26(12), pages 274-284, December.
    67. Yijuan Chen & Juergen Meinecke & Peter Sivey, 2013. "Can hospital waiting times be reduced by being published?," ANU Working Papers in Economics and Econometrics 2013-614, Australian National University, College of Business and Economics, School of Economics.
    68. Jing Hua Zhang, 2015. "Bend the healthcare cost curve without pain? The health outcome after the Medicare reimbursement cut in 1997," International Journal of Health Planning and Management, Wiley Blackwell, vol. 30(2), pages 164-172, April.
    69. Giuseppe Moscelli & Hugh Gravelle & Luigi Siciliani, 2018. "Effects of Market Structure and Patient Choice on Hospital Quality for Planned Patients," School of Economics Discussion Papers 1118, School of Economics, University of Surrey.
    70. Joshua C.C. Chan & Justin L. Tobias, 2012. "Priors and Posterior Computation in Linear Endogenous Variable Models with Imperfect Instruments," ANU Working Papers in Economics and Econometrics 2012-580, Australian National University, College of Business and Economics, School of Economics.
    71. Nathan E. Wilson, 2021. "The Impact of Competition on Investment: Evidence From California Hospitals," Journal of Industrial Economics, Wiley Blackwell, vol. 69(1), pages 1-32, March.
    72. Anne-Line Koch Helsø & Mr. Nicola Pierri & Adelina Yanyue Wang, 2019. "The Economic Impact of Healthcare Quality," IMF Working Papers 2019/173, International Monetary Fund.
    73. Rachet-Jacquet, Laurie & Gutacker, Nils & Siciliani, Luigi, 2021. "Scale economies in the health sector: The effect of hospital volume on health gains from hip replacement surgery," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 704-729.
    74. Mariétou H. Ouayogodé & Kurt E. Schnier, 2021. "Patient selection in the presence of regulatory oversight based on healthcare report cards of providers: the case of organ transplantation," Health Care Management Science, Springer, vol. 24(1), pages 160-184, March.
    75. Desiraju, Ramarao & Nair, Harikesh S. & Chintagunta, Pradeep, 2004. "Diffusion of New Pharmaceutical Drugs in Developing and Developed Nations," Research Papers 1950, Stanford University, Graduate School of Business.
    76. Arrieta, Alejandro, 2011. "Health reform and cesarean sections in the private sector: The experience of Peru," Health Policy, Elsevier, vol. 99(2), pages 124-130, February.
    77. Partha Deb & Pravin K. Trivedi, 2002. "Specification and Simulated Likelihood Estimation of a Non-normal Outcome Model with Selection: Application to Health Care Utilization," Economics Working Paper Archive at Hunter College 02/5, Hunter College Department of Economics, revised 2004.
    78. AfDB AfDB, 2007. "Working Paper 91 - Health Expenditures and Health Outcomes in Africa," Working Paper Series 2224, African Development Bank.
    79. Didier Nibbering, 2024. "A high‐dimensional multinomial logit model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(3), pages 481-497, April.
    80. Subhalaxmi Mohapatra, 2017. "Health inequity and health outcome: a causal linkage study of low and middle income countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(6), pages 2475-2488, November.
    81. Jon H. Fiva & Torbjørn Hægeland & Marte Rønning, 2009. "Health Status After Cancer. Does It Matter Which Hospital You Belong To?," Discussion Papers 590, Statistics Norway, Research Department.
    82. Lea Eilers & Alfredo R. Paloyo & Peggy Bechara, 2022. "The effect of peer employment and neighborhood characteristics on individual employment," Empirical Economics, Springer, vol. 62(4), pages 1885-1908, April.
    83. Yu, Serena & Fiebig, Denzil G. & Scarf, Vanessa & Viney, Rosalie & Dahlen, Hannah G. & Homer, Caroline, 2020. "Birth models of care and intervention rates: The impact of birth centres," Health Policy, Elsevier, vol. 124(12), pages 1395-1402.
    84. Moffett, Maurice L. & Morgan, Robert O. & Ashton, Carol M., 2005. "Strategic opportunities in the oversight of the U.S. hospital accreditation system," Health Policy, Elsevier, vol. 75(1), pages 109-115, December.
    85. Jonathan Karnon & Orla Caffrey & Clarabelle Pham & Richard Grieve & David Ben‐Tovim & Paul Hakendorf & Maria Crotty, 2013. "Applying Risk Adjusted Cost‐Effectiveness (Rac‐E) Analysis To Hospitals: Estimating The Costs And Consequences Of Variation In Clinical Practice," Health Economics, John Wiley & Sons, Ltd., vol. 22(6), pages 631-642, June.
    86. Chernew, Michael & Gowrisankaran, Gautam & Scanlon, Dennis P., 2008. "Learning and the value of information: Evidence from health plan report cards," Journal of Econometrics, Elsevier, vol. 144(1), pages 156-174, May.
    87. Jones A.M & Rice N, 2009. "Econometric Evaluation of Health Policies," Health, Econometrics and Data Group (HEDG) Working Papers 09/09, HEDG, c/o Department of Economics, University of York.
    88. Andrew M. Jones, 2007. "Identification of treatment effects in Health Economics," Health Economics, John Wiley & Sons, Ltd., vol. 16(11), pages 1127-1131, November.
    89. John Anyanwu & Andrew E. O. Erhijakpor, 2007. "Working Paper 91 - Health Expenditures and Health Outcomes in Africa," Working Paper Series 226, African Development Bank.
    90. Jiawei Chen, 2006. "Two-Sided Matching and Spread Determinants in the Loan Market," Working Papers 060702, University of California-Irvine, Department of Economics.
    91. Maurice L. Moffett & Alok Bohara, 2005. "Hospital Quality Oversight by the Joint Commission on the Accreditation of Healthcare Organizations," Eastern Economic Journal, Eastern Economic Association, vol. 31(4), pages 629-647, Fall.
    92. Li, Mingliang & Mumford, Kevin J. & Tobias, Justin L., 2012. "A Bayesian analysis of payday loans and their regulation," Journal of Econometrics, Elsevier, vol. 171(2), pages 205-216.

  11. Dan Chin & John Geweke & Preston Miller, 2000. "Predicting Turning Points: Technical Paper 2000-3," Working Papers 13337, Congressional Budget Office.

    Cited by:

    1. Peláez, Rolando F., 2015. "Market-timing the business cycle," Review of Financial Economics, Elsevier, vol. 26(C), pages 55-64.
    2. Di Guilmi, Corrado & Gaffeo, Edoardo & Gallegati, Mauro, 2004. "Empirical results on the size distribution of business cycle phases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 333(C), pages 325-334.

  12. Daniel M. Chin & John Geweke & Preston J. Miller, 2000. "Predicting turning points," Staff Report 267, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Don Harding & Adrian Pagan, 2009. "An Econometric Analysis of Some Models for Constructed Binary Time Series," NCER Working Paper Series 39, National Centre for Econometric Research, revised 02 Jul 2009.
    2. Harding, Don & Pagan, Adrian, 2001. "Extracting, Using and Analysing Cyclical Information," MPRA Paper 15, University Library of Munich, Germany.
    3. Don Harding & Adrian Pagan, 2006. "The Econometric Analysis of Constructed Binary Time Series," Department of Economics - Working Papers Series 963, The University of Melbourne.
    4. Khurshid Kiani, 2011. "Fluctuations in Economic and Activity and Stabilization Policies in the CIS," Computational Economics, Springer;Society for Computational Economics, vol. 37(2), pages 193-220, February.
    5. Andrea Carriero & Massimiliano Marcellino, 2007. "Monitoring the Economy of the Euro Area: A Comparison of Composite Coincident Indexes," Working Papers 319, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    6. Adrian pagan & Don Harding, 2006. "The Econometric Analysis of Constructed Binary Time Series. Working paper #1," NCER Working Paper Series 1, National Centre for Econometric Research.
    7. Marco Del Negro, 2001. "Turn, turn, turn: Predicting turning points in economic activity," Economic Review, Federal Reserve Bank of Atlanta, vol. 86(Q2), pages 1-12.
    8. Peláez, Rolando F., 2015. "Market-timing the business cycle," Review of Financial Economics, Elsevier, vol. 26(C), pages 55-64.
    9. Christian Schulz, 2008. "Forecasting economic activity for Estonia : The application of dynamic principal component analyses," Bank of Estonia Working Papers 2008-02, Bank of Estonia, revised 30 Oct 2008.
    10. Di Guilmi, Corrado & Gaffeo, Edoardo & Gallegati, Mauro, 2004. "Empirical results on the size distribution of business cycle phases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 333(C), pages 325-334.

  13. John Geweke, 1999. "Computational Experiments and Reality," Computing in Economics and Finance 1999 401, Society for Computational Economics.

    Cited by:

    1. Oleg Korenok, 2005. "Empirical Comparison of Sticky Price and Sticky Information Models," Macroeconomics 0510004, University Library of Munich, Germany.
    2. Fujiwara, Ippei, 2006. "Evaluating monetary policy when nominal interest rates are almost zero," Journal of the Japanese and International Economies, Elsevier, vol. 20(3), pages 434-453, September.
    3. Jaromír Hurník & Ondøej Kameník & Jan Vlèek, 2008. "The History of Inflation Targeting in the Czech Republic Through the Lens of a Dynamic General Equilibrium Model," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 58(09-10), pages 454-469, December.
    4. Canova, Fabio, 2002. "Validating Monetary DSGE Models through VARs," CEPR Discussion Papers 3442, C.E.P.R. Discussion Papers.
    5. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.
    6. Oxana Malakhovskaya & Alexey Minabutdinov, 2014. "Are commodity price shocks important? A Bayesian estimation of a DSGE model for Russia," International Journal of Computational Economics and Econometrics, Inderscience Enterprises Ltd, vol. 4(1/2), pages 148-180.
    7. Landon-Lane, John & Occhino, Filippo, 2008. "Bayesian estimation and evaluation of the segmented markets friction in equilibrium monetary models," Journal of Macroeconomics, Elsevier, vol. 30(1), pages 444-461, March.
    8. Eric Jondeau & Jean-Guillaume Sahuc, 2008. "Optimal Monetary Policy in an Estimated DSGE Model of the Euro Area with Cross-Country Heterogeneity," International Journal of Central Banking, International Journal of Central Banking, vol. 4(2), pages 23-72, June.
    9. Jarek Hurnik & Ondra Kamenik & Jan Vlcek, 2008. "The History of Inflation Targeting in the Czech Republic through Optic of a Dynamic General Equilibrium Model," Occasional Publications - Chapters in Edited Volumes, in: Katerina Smidkova (ed.), Evaluation of the Fulfilment of the CNB's Inflation Targets 1998-2007, chapter 8, pages 102-116, Czech National Bank.
    10. Nason, James M. & Rogers, John H., 2006. "The present-value model of the current account has been rejected: Round up the usual suspects," Journal of International Economics, Elsevier, vol. 68(1), pages 159-187, January.
    11. Eric Jondeau & Jean-Guillaume Sahuc, 2005. "Testing Heterogeneity within the Euro Area Using a Structural Multi-Country Model," Documents de recherche 05-06, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    12. Bhattacharjee, Arnab & Sun, Qi & Chadha, Jagjit S., 2008. "Productivity, Preferences and UIP deviations in an Open Economy Business Cycle Model," SIRE Discussion Papers 2008-53, Scottish Institute for Research in Economics (SIRE).
    13. Huseynov, Salman & Ahmadov, Vugar, 2014. "Azərbaycan üzrə DSÜT modeli: qiymətləndirmə və proqnozlaşdırma [A DSGE model for Azerbaijan: estimation and forecasting]," MPRA Paper 78123, University Library of Munich, Germany.
    14. Smets, Frank & Wouters, Raf, 2002. "An estimated stochastic dynamic general equilibrium model of the euro area," Working Paper Series 171, European Central Bank.
    15. DeJong, David N. & Ingram, Beth F. & Whiteman, Charles H., 2000. "A Bayesian approach to dynamic macroeconomics," Journal of Econometrics, Elsevier, vol. 98(2), pages 203-223, October.
    16. Alexander Kriwoluzky & Christian Stoltenberg, 2007. "Optimal Policy Under Model Uncertainty: A Structural-Bayesian Estimation Approach," SFB 649 Discussion Papers SFB649DP2007-040, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    17. Seong-Hoon Kim, 2012. "Sequential Action and Beliefs Under Partially Observable DSGE Environments," Computational Economics, Springer;Society for Computational Economics, vol. 40(3), pages 219-244, October.
    18. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    19. Ana Beatriz Galvão & Liudas Giraitis & George Kapetanios & Katerina Petrova, 2015. "A Bayesian Local Likelihood Method for Modelling Parameter Time Variation in DSGE Models," Working Papers 770, Queen Mary University of London, School of Economics and Finance.
    20. Marco Del Negro & Frank Schorfheide & Frank Smets & Raf Wouters, 2004. "On the fit and forecasting performance of New Keynesian models," FRB Atlanta Working Paper 2004-37, Federal Reserve Bank of Atlanta.
    21. Akdeniz,L. & Dechert,W.D., 2005. "The equity premium in Brock's asset pricing model," Working papers 3, Wisconsin Madison - Social Systems.
    22. Ippei Fujiwara, 2003. "Has the effect of monetary policy changedduring 1990s?: An Application of Identified Markov Switching Vector Autoregression to the Impulse Response Analysis When the Nominal Interest Rate is Almost Ze," Discussion Papers in Economics and Business 03-08, Osaka University, Graduate School of Economics.
    23. Cristiano Cantore & Vasco J. Gabriel & Paul Levine & Joseph Pearlman & Bo Yang, 2013. "The science and art of DSGE modelling: I – construction and Bayesian estimation," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 18, pages 411-440, Edward Elgar Publishing.
    24. Yongsung Chang & Joao Gomes & Frank Schorfheide, 2002. "Learning by Doing as a Propagation Mechanism," Macroeconomics 0204002, University Library of Munich, Germany.
    25. Vasco Gabriel & Paul Levine & Joseph Pearlman & Bo Yang, 2010. "An Estimated DSGE Model of the Indian Economy," School of Economics Discussion Papers 1210, School of Economics, University of Surrey.
    26. Fritz Breuss & Katrin Rabitsch, 2009. "An estimated two-country DSGE model of Austria and the Euro Area," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 36(1), pages 123-158, February.
    27. International Monetary Fund, 2007. "A Simple DGE Model for Inflation Targeting," IMF Working Papers 2007/197, International Monetary Fund.
    28. Qureshi, Irfan, 2015. "What are monetary policy shocks?," The Warwick Economics Research Paper Series (TWERPS) 1086, University of Warwick, Department of Economics.
    29. Dridi, Ramdan & Guay, Alain & Renault, Eric, 2007. "Indirect inference and calibration of dynamic stochastic general equilibrium models," Journal of Econometrics, Elsevier, vol. 136(2), pages 397-430, February.
    30. Paul Levine & Joseph Pearlman & George Perendia & Bo Yang, 2010. "Endogenous Persistence in an Estimated DSGE Model under Imperfect Information," School of Economics Discussion Papers 0310, School of Economics, University of Surrey.
    31. Silos, Pedro, 2006. "Assessing Markov chain approximations: A minimal econometric approach," Journal of Economic Dynamics and Control, Elsevier, vol. 30(6), pages 1063-1079, June.
    32. Robert Grafstein, 2000. "Employment, Party Economic Performance, and the Formation of Partisan Preferences," Journal of Theoretical Politics, , vol. 12(3), pages 325-351, July.
    33. Kriwoluzky, Alexander, 2012. "Pre-announcement and timing: The effects of a government expenditure shock," European Economic Review, Elsevier, vol. 56(3), pages 373-388.
    34. Qureshi, Irfan, 2015. "What are monetary policy shocks?," Economic Research Papers 270008, University of Warwick - Department of Economics.
    35. Dave Colander, 2008. "Complexity, Pedagogy and the Economics of Muddling Through," Middlebury College Working Paper Series 0805, Middlebury College, Department of Economics.
    36. Sungbae An & Heedon Kang, 2011. "Oil Shocks in a DSGE Model for the Korean Economy," NBER Chapters, in: Commodity Prices and Markets, pages 295-321, National Bureau of Economic Research, Inc.
    37. Fernandez-Villaverde, Jesus & Francisco Rubio-Ramirez, Juan, 2004. "Comparing dynamic equilibrium models to data: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 123(1), pages 153-187, November.
    38. Jaromir Benes & Tibor Hledik & Michael Kumhof & David Vavra, 2005. "An Economy in Transition and DSGE: What the Czech National Bank’s New Projection Model Needs," Working Papers 2005/12, Czech National Bank.
    39. den Haan, Wouter J. & Sumner, Steven W., 2004. "The comovement between real activity and prices in the G7," European Economic Review, Elsevier, vol. 48(6), pages 1333-1347, December.
    40. John Landon-Lane & Filippo Occhino, 2004. "A Likelihood-Based Evaluation of the Segmented Markets Friction in Equilibrium Monetary Models," Departmental Working Papers 200415, Rutgers University, Department of Economics.
    41. Maryam Mirfatah & Vasco J. Gabriel & Paul Levine, 2021. "Imperfect Exchange Rate Pass-through: Empirical Evidence and Monetary Policy Implications," School of Economics Discussion Papers 0321, School of Economics, University of Surrey.
    42. Malagon Jonathan & Orbegozo Camila, 2019. "The New Drivers of Fear of Floating: Evidence from Latin America," Journal of Globalization and Development, De Gruyter, vol. 10(1), pages 1-17, June.
    43. Arief Ramayandi, 2008. "Simple Model for a Small Open Economy: An Application to the ASEAN-5 Countries," Working Papers in Economics and Development Studies (WoPEDS) 200801, Department of Economics, Padjadjaran University, revised May 2008.
    44. Oleg Korenok & Norman R. Swanson, 2007. "How Sticky Is Sticky Enough? A Distributional and Impulse Response Analysis of New Keynesian DSGE Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1481-1508, September.
    45. Schorfheide, Frank & An, Sungbae, 2005. "Bayesian Analysis of DSGE Models," CEPR Discussion Papers 5207, C.E.P.R. Discussion Papers.
    46. Akdeniz, Levent & Dechert, W. Davis, 2007. "The equity premium in Brock's asset pricing model," Journal of Economic Dynamics and Control, Elsevier, vol. 31(7), pages 2263-2292, July.
    47. Paul Levine & Joseph Pearlman & Bo Yang, 2012. "Imperfect Information, Optimal Monetary Policy and Informational Consistency," School of Economics Discussion Papers 1012, School of Economics, University of Surrey.
    48. Cristiano Cantore & Vasco J. Gabriel & Paul Levine & Joseph Pearlman & Bo Yang, 2013. "The science and art of DSGE modelling: II – model comparisons, model validation, policy analysis and general discussion," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 19, pages 441-463, Edward Elgar Publishing.
    49. John Landon-Lane & Filippo Occhino, 2005. "Estimation and Evaluation of a Segmented Markets Monetary Model," Departmental Working Papers 200505, Rutgers University, Department of Economics.
    50. Olga Kiuila, 2001. "Computable Models of General Equilibrium (CGE)," Ekonomia journal, Faculty of Economic Sciences, University of Warsaw, vol. 4.
    51. Beneš, Jaromí­r & Vávra, David, 2005. "Eigenvalue filtering in VAR models with application to the Czech business cycle," Working Paper Series 549, European Central Bank.
    52. Niels Arne Dam & Jesper Gregers Linaa, 2005. "What Drives Business Cycles in a Small Open Economy with a Fixed Exchange Rate?," EPRU Working Paper Series 05-02, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics.

  14. John Geweke, 1999. "Using Simulation Methods for Bayesian Econometric Models," Computing in Economics and Finance 1999 832, Society for Computational Economics.

    Cited by:

    1. Farmer, Roger E.A. & Nicolò, Giovanni, 2018. "Keynesian economics without the Phillips curve," Journal of Economic Dynamics and Control, Elsevier, vol. 89(C), pages 137-150.
    2. Guerron-Quintana, Pablo A., 2011. "The implications of inflation in an estimated new Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 947-962, June.
    3. Kamal, Mona, 2011. "Bayesian Estimation of Dynamic Stochastic General Equilibrium Model Using UK Data," MPRA Paper 28988, University Library of Munich, Germany.
    4. Haider, Adnan & Khan, Safdar Ullah, 2008. "A Small Open Economy DSGE Model for Pakistan," MPRA Paper 12977, University Library of Munich, Germany, revised 17 Jan 2009.
    5. Denny Lie, 2019. "Observed Inflation‐target Adjustments in an Estimated DSGE Model for Indonesia: Do They Matter for Aggregate Fluctuations?," Economic Papers, The Economic Society of Australia, vol. 38(4), pages 261-285, December.
    6. Christopher J. Gust & Edward P. Herbst & J. David López-Salido, 2018. "Forward Guidance with Bayesian Learning and Estimation," Finance and Economics Discussion Series 2018-072, Board of Governors of the Federal Reserve System (U.S.).
    7. Takashi Kano & James M. Nason, 2014. "Business Cycle Implications of Internal Consumption Habit for New Keynesian Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(2-3), pages 519-544, March.
    8. Takashi Kano, 2007. "Habit Formation and the Present-Value Model of the Current Account: Yet Another Suspect," CIRJE F-Series CIRJE-F-505, CIRJE, Faculty of Economics, University of Tokyo.
    9. Kano, Takashi & Morita, Hiroshi, 2015. "An equilibrium foundation of the Soros chart," Journal of the Japanese and International Economies, Elsevier, vol. 37(C), pages 21-42.
    10. Akihisa Shibata & Mototsugu Shintani & Takayuki Tsuruga, 2018. "Current Account Dynamics under Information Rigidity and Imperfect Capital Mobility," Globalization Institute Working Papers 335, Federal Reserve Bank of Dallas.
    11. Weder, Mark & Doko Tchatokay, Firmin & Groshenny, Nicolas & Haque, Qazi, 2016. "Monetary Policy and Indeterminacy after the 2001 Slump," VfS Annual Conference 2016 (Augsburg): Demographic Change 145557, Verein für Socialpolitik / German Economic Association.
    12. Selma Toker, 2020. "Investigating the two parameter analysis of Lipovetsky for simultaneous systems," Statistical Papers, Springer, vol. 61(5), pages 2059-2089, October.
    13. Tan, Fei, 2018. "A Frequency-Domain Approach to Dynamic Macroeconomic Models," MPRA Paper 90487, University Library of Munich, Germany.
    14. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2008. "The new area-wide model of the euro area: a micro-founded open-economy model for forecasting and policy analysis," Working Paper Series 944, European Central Bank.
    15. Ohtsuka, Yoshihiro & Oga, Takashi & Kakamu, Kazuhiko, 2010. "Forecasting electricity demand in Japan: A Bayesian spatial autoregressive ARMA approach," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2721-2735, November.
    16. Saroj Bhattarai & Jae Won Lee & Woong Yong Park, 2012. "Policy regimes, policy shifts, and U.S. business cycles," Globalization Institute Working Papers 109, Federal Reserve Bank of Dallas.
    17. Stelios D. Bekiros & Alessia Paccagnini, 2014. "Estimating point and density forecasts for the US economy with a factor-augmented vector autoregressive DSGE model," Open Access publications 10197/7588, School of Economics, University College Dublin.
    18. Richard Kleijn & Herman K. van Dijk, 2006. "Bayes model averaging of cyclical decompositions in economic time series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 191-212, March.
    19. Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Villani, Mattias, 2005. "Bayesian Estimation of an Open Economy DSGE Model with Incomplete Pass-Through," Working Paper Series 179, Sveriges Riksbank (Central Bank of Sweden).
    20. Mumtaz, Haroon & Zanetti, Francesco, 2015. "Factor adjustment costs: A structural investigation," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 341-355.
    21. Emmanuel C. Mamatzakis & Mike G. Tsionas, 2020. "Revealing forecaster's preferences: A Bayesian multivariate loss function approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 412-437, April.
    22. Robert Kollmann, 2013. "Global Banks, Financial Shocks, and International Business Cycles: Evidence from an Estimated Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(s2), pages 159-195, December.
    23. Frank Schorfheide, 2003. "Learning and monetary policy shifts," FRB Atlanta Working Paper 2003-23, Federal Reserve Bank of Atlanta.
    24. Kwan Soo Bong & Taeyoung Doh & Woong Yong Park, 2014. "Yield curve and monetary policy expectations in small open economies," Research Working Paper RWP 14-13, Federal Reserve Bank of Kansas City.
    25. James M. Nason & Shaun P. Vahey, 2006. "Interwar U.K. unemployment: the Benjamin and Kochin hypothesis or the legacy of “just” taxes?," FRB Atlanta Working Paper 2006-04, Federal Reserve Bank of Atlanta.
    26. Babecký, Jan & Franta, Michal & Ryšánek, Jakub, 2018. "Fiscal policy within the DSGE-VAR framework," Economic Modelling, Elsevier, vol. 75(C), pages 23-37.
    27. Dewachter, Hans & Iania, Leonardo, 2012. "An Extended Macro-Finance Model with Financial Factors," LIDAM Reprints LFIN 2012001, Université catholique de Louvain, Louvain Finance (LFIN).
    28. Markku Lanne & Jani Luoto, 2017. "A New Time‐Varying Parameter Autoregressive Model for U.S. Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 969-995, August.
    29. Kenneth W Clements & Yihui Lan & Xueyan Zhao, 2006. "The Demand for Vice: Inter-Commodity Interactions with Uncertainty," Economics Discussion / Working Papers 06-30, The University of Western Australia, Department of Economics.
    30. Welz, Peter, 2006. "Assessing predetermined expectations in the standard sticky-price model: a Bayesian approach," Working Paper Series 621, European Central Bank.
    31. Tyler Atkinson & Alexander W. Richter & Nathaniel A. Throckmorton, 2018. "The Zero Lower Bound and Estimation Accuracy," Working Papers 1804, Federal Reserve Bank of Dallas.
    32. Marco Del Negro & Frank Schorfheide, 2008. "Forming Priors for DSGE Models (and How it Affects the Assessment of Nominal Rigidities)," NBER Working Papers 13741, National Bureau of Economic Research, Inc.
    33. Minsu Chang & Xiaohong Chen & Frank Schorfheide, 2021. "Heterogeneity and Aggregate Fluctuations," Cowles Foundation Discussion Papers 2289, Cowles Foundation for Research in Economics, Yale University.
    34. Carlo A. Favero, 2007. "The Econometrics of Monetary Policy: an Overview," Working Papers 329, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    35. Jouini, Nizar & Rebei, Nooman, 2012. "The Welfare Implications of Services Liberalization in a Developing Country," Conference papers 332271, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    36. Liu, Chun, 2010. "Marginal likelihood calculation for gelfand-dey and Chib Method," MPRA Paper 34928, University Library of Munich, Germany.
    37. Thomas J. Sargent & Noah Williams & Tao Zha, 2004. "Shocks and government beliefs: the rise and fall of American inflation," FRB Atlanta Working Paper 2004-22, Federal Reserve Bank of Atlanta.
    38. Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Villani, Mattias, 2007. "Evaluating An Estimated New Keynesian Small Open Economy Model," Working Paper Series 203, Sveriges Riksbank (Central Bank of Sweden).
    39. Alexander Kriwoluzky & Christian A. Stoltenberg, 2016. "Nested Models and Model Uncertainty," Scandinavian Journal of Economics, Wiley Blackwell, vol. 118(2), pages 324-353, April.
    40. Bailliu, Jeannine & Dib, Ali & Kano, Takashi & Schembri, Lawrence, 2014. "Multilateral adjustment, regime switching and real exchange rate dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 27(C), pages 68-87.
    41. Alfred Duncan & Charles Nolan, 2017. "Disputes, Debt and Equity," Studies in Economics 1716, School of Economics, University of Kent.
    42. Anna Kormilitsina & Sarah Zubairy, 2015. "Propagation Mechanisms for Government Spending Shocks: A Bayesian Comparison," EcoMod2015 8646, EcoMod.
    43. Liu, Philip, 2010. "Stabilization bias for a small open economy: The case of New Zealand," Journal of Macroeconomics, Elsevier, vol. 32(3), pages 921-935, September.
    44. Lemos, S.V. & Salgado Junior, A.P. & Rebehy, P.C.P.W. & Carlucci, F.V. & Novi, J.C., 2021. "Framework for improving agro-industrial efficiency in renewable energy: Examining Brazilian bioenergy companies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    45. Francesco Bianchi, 2009. "Regime Switches, Agents’ Beliefs, and Post-World War II U.S. Macroeconomic Dynamics," 2009 Meeting Papers 198, Society for Economic Dynamics.
    46. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
    47. Li, Bing & Liu, Qing, 2017. "On the choice of monetary policy rules for China: A Bayesian DSGE approach," China Economic Review, Elsevier, vol. 44(C), pages 166-185.
    48. Chan, Joshua & Eisenstat, Eric, 2012. "Marginal Likelihood Estimation with the Cross-Entropy Method," MPRA Paper 40051, University Library of Munich, Germany.
    49. Thorsten Drautzburg, 2016. "A narrative approach to a fiscal DSGE model," Working Papers 16-11, Federal Reserve Bank of Philadelphia.
    50. Keqiang Hou & Alok Johri, 2018. "Intangible Capital, the Labor Wedge and the Volatility of Corporate Profits," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 29, pages 216-234, July.
    51. Timothy Kam & Kirdan Lees & Philip Liu, 2006. "Uncovering The Hit-List For Small Inflation Targeters: A Bayesian Structural Analysis," ANU Working Papers in Economics and Econometrics 2006-473, Australian National University, College of Business and Economics, School of Economics.
    52. Galvao, Ana Beatriz & Owyang, Michael, 2020. "Forecasting Low Frequency Macroeconomic Events with High Frequency Data," EMF Research Papers 38, Economic Modelling and Forecasting Group.
    53. Gupta, Rangan & Steinbach, Rudi, 2013. "A DSGE-VAR model for forecasting key South African macroeconomic variables," Economic Modelling, Elsevier, vol. 33(C), pages 19-33.
    54. Giovanni Di Bartolomeo & Lorenza Rossi & Massimiliano Tancioni, 2007. "Monetary Policy, Rule-of-Thumb Consumers and External Habits: An International Comparison," Working Papers 0727, University of Crete, Department of Economics.
    55. Martin Menner, 2009. "The role for search frictions for output and inflation dynamics: A Bayesian assessment," Working Papers. Serie AD 2009-06, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    56. William Ginn & Marc Pourroy, 2020. "Should a central bank react to food inflation? Evidence from an estimated model for Chile," Post-Print hal-03579680, HAL.
    57. Miazhynskaia, Tatiana & Fruhwirth-Schnatter, Sylvia & Dorffner, Georg, 2006. "Bayesian testing for non-linearity in volatility modeling," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 2029-2042, December.
    58. Michiel D. de Pooter & René Segers & Herman K. van Dijk, 2006. "On the Practice of Bayesian Inference in Basic Economic Time Series Models using Gibbs Sampling," Tinbergen Institute Discussion Papers 06-076/4, Tinbergen Institute.
    59. Agustín Arias, 2016. "Sentiment Shocks as Drivers of Business Cycles," Working Papers Central Bank of Chile 782, Central Bank of Chile.
    60. Carriero, Andrea & Kapetanios, George & Marcellino, Massimiliano, 2016. "Structural analysis with Multivariate Autoregressive Index models," Journal of Econometrics, Elsevier, vol. 192(2), pages 332-348.
    61. Alexander Meyer-Gohde, 2007. "Solving Linear Rational Expectations Models with Lagged Expectations Quickly and Easily," SFB 649 Discussion Papers SFB649DP2007-069, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    62. Gelfer, Sacha & Gibbs, Christopher G., 2023. "Measuring the effects of large-scale asset purchases: The role of international financial markets and the financial accelerator," Journal of International Money and Finance, Elsevier, vol. 131(C).
    63. Paola Mariell Brens Ortega, 2020. "An Econometric Analysis of a Calibrated Macroeconomic Model for the Dominican Republic: A Closer Look into Monetary Policy," Documentos de Trabajo 18253, The Latin American and Caribbean Economic Association (LACEA).
    64. Robert, Christian P., 2004. "Bayesian computational methods," Papers 2004,18, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
    65. Arratibel, Olga & Michaelis, Henrike, 2013. "The Impact of Monetary Policy and Exchange Rate Shocks in Poland: Evidence from a Time-Varying VAR," Discussion Papers in Economics 21088, University of Munich, Department of Economics.
    66. Penelope A. Smith & Peter M. Summers, 2002. "Regime Switches in GDP Growth and Volatility: Some International Evidence and Implications for Modelling Business Cycles," Melbourne Institute Working Paper Series wp2002n21, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    67. Jakob R. Munch & Daniel X., 2008. "Decomposing Firm-level Sales Variation," EPRU Working Paper Series 2009-05, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics, revised Jun 2009.
    68. Frank Schorfheide & Dongho Song, 2015. "Real-Time Forecasting With a Mixed-Frequency VAR," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 366-380, July.
    69. Florian Pelgrin & Stéphane Adjemian, 2008. "Un regard bayésien sur les modèles dynamiques de la macroéconomie," Économie et Prévision, Programme National Persée, vol. 183(2), pages 127-152.
    70. Shu-Chun S. Yang & Nora Traum, 2011. "When Does Government Debt Crowd Out Investment?," 2011 Meeting Papers 479, Society for Economic Dynamics.
    71. Nason, James M. & Rogers, John H., 2006. "The present-value model of the current account has been rejected: Round up the usual suspects," Journal of International Economics, Elsevier, vol. 68(1), pages 159-187, January.
    72. Zheng, Tingguo & Guo, Huiming, 2013. "Estimating a small open economy DSGE model with indeterminacy: Evidence from China," Economic Modelling, Elsevier, vol. 31(C), pages 642-652.
    73. Jarkko P. Jääskelä & Kristoffer P. Nimark, 2011. "A Medium-Scale New Keynesian Open Economy Model of Australia," Working Papers 588, Barcelona School of Economics.
    74. Stephen McKnight & Alexander Mihailov & Antonio Pompa Rangel, 2016. "What Do Latin American Inflation Targeters Care About? A Comparative Bayesian Estimation of Central Bank Preferences," Economics Discussion Papers em-dp2016-12, Department of Economics, University of Reading.
    75. Juan F. Rubio-Ramirez & Daniel Waggoner & Tao Zha, 2006. "Markov-Switching Structural Vector Autoregressions: Theory and Application," Computing in Economics and Finance 2006 69, Society for Computational Economics.
    76. Roger E. A. Farmer & Giovanni Nicolo, 2019. "Some International Evidence for Keynesian Economics Without the Phillips Curve," Finance and Economics Discussion Series 2019-032, Board of Governors of the Federal Reserve System (U.S.).
    77. Lanne, Markku & Luoma, Arto & Luoto, Jani, 2008. "A Naïve Sticky Information Model of Households’ Inflation Expectations," MPRA Paper 8663, University Library of Munich, Germany.
    78. Massimiliano Serati & Gianni Amisano, 2003. "Unemployment and labour taxation: an econometric analysis," LIUC Papers in Economics 122, Cattaneo University (LIUC).
    79. Lakdawala, Aeimit & Wu, Shu, 2017. "Federal Reserve Credibility and the Term Structure of Interest Rates," MPRA Paper 78253, University Library of Munich, Germany.
    80. Bekiros, Stelios D. & Paccagnini, Alessia, 2015. "Macroprudential Policy And Forecasting Using Hybrid Dsge Models With Financial Frictions And State Space Markov-Switching Tvp-Vars," Macroeconomic Dynamics, Cambridge University Press, vol. 19(7), pages 1565-1592, October.
    81. Luc Bauwens & Charles S. Bos & Herman K. van Dijk, 1999. "Adaptive Polar Sampling with an Application to a Bayes Measure of Value-at-Risk," Tinbergen Institute Discussion Papers 99-082/4, Tinbergen Institute.
    82. Li, Bing & Pei, Pei & Tan, Fei, 2021. "Financial distress and fiscal inflation," Journal of Macroeconomics, Elsevier, vol. 70(C).
    83. Elton Beqiraj & Giovanni Di Bartolomeo & Marco Di Pietro & Carolina Serpieri, 2018. "Bounded-rationality and heterogeneous agents: Long or short forecasters?," JRC Research Reports JRC111392, Joint Research Centre.
    84. Gael M. Martin, 2000. "US deficit sustainability: a new approach based on multiple endogenous breaks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 83-105.
    85. John Tsoukala & Hashmat Khan, 2010. "Investment Shocks and the Comovement Problem," Discussion Papers 10/09, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    86. Bauwens, Luc & Bos, Charles S. & van Dijk, Herman K. & van Oest, Rutger D., 2004. "Adaptive radial-based direction sampling: some flexible and robust Monte Carlo integration methods," Journal of Econometrics, Elsevier, vol. 123(2), pages 201-225, December.
    87. Cantore, C. & Ferroni, F. & León-Ledesma, M A., 2011. "Interpreting the Hours-Technology time-varying relationship," Working papers 351, Banque de France.
    88. Gholamreza Hajargasht & D.S. Prasada Rao, 2019. "Multilateral Index Number Systems for International Price Comparisons: Properties, Existence and Uniqueness," CEPA Working Papers Series WP032019, School of Economics, University of Queensland, Australia.
    89. Kano, Takashi & 加納, 隆, 2014. "Exchange Rates and Fundamentals: Closing a Two-country Model," Discussion Papers 2013-07, Graduate School of Economics, Hitotsubashi University.
    90. Marto, Ricardo, 2013. "Assessing the Impacts of Non-Ricardian Households in an Estimated New Keynesian DSGE Model," MPRA Paper 55647, University Library of Munich, Germany.
    91. Katharina Hauck & Xiaohui Zhang, 2016. "Heterogeneity in the Effect of Common Shocks on Healthcare Expenditure Growth," Health Economics, John Wiley & Sons, Ltd., vol. 25(9), pages 1090-1103, September.
    92. Eijffinger, S.C.W. & Grajales Olarte, A. & Uras, R.B., 2015. "Heterogeneity in Wage Setting Behavior in a New-Keynesian Model," Discussion Paper 2015-024, Tilburg University, Center for Economic Research.
    93. Pierre Guérin & Danilo Leiva-Leon, 2017. "Monetary policy, stock market and sectoral comovement," Working Papers 1731, Banco de España.
    94. Vasco Curdia & Daria Finocchiaro, 2012. "Monetary Regime Change and Business Cycles," Working Paper Series 2013-02, Federal Reserve Bank of San Francisco.
    95. Lahiri, Kajal & Gao, Jian, 2002. "Bayesian analysis of nested logit model by Markov chain Monte Carlo," Journal of Econometrics, Elsevier, vol. 111(1), pages 103-133, November.
    96. Rots, Eyno, 2017. "Imperfect information and the house price in a general-equilibrium model," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 215-231.
    97. Stefano Neri & Tiziano Ropele, 2012. "Imperfect Information, Real‐Time Data and Monetary Policy in the Euro Area," Economic Journal, Royal Economic Society, vol. 122(561), pages 651-674, June.
    98. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2017. "Uncertain identification," CeMMAP working papers 18/17, Institute for Fiscal Studies.
    99. Villa, Stefania, 2013. "Financial frictions in the euro area: a Bayesian assessment," Working Paper Series 1521, European Central Bank.
    100. Wieland, Volker & Taylor, John B., 2010. "Surprising comparative properties of monetary models: Results from a new model database," Working Paper Series 1261, European Central Bank.
    101. Hashmat Khan & John Tsoukalas, 2012. "The Quantitative Importance of News Shocks in Estimated DSGE Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1535-1561, December.
    102. Waggoner, Daniel F. & Zha, Tao, 2003. "A Gibbs sampler for structural vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 28(2), pages 349-366, November.
    103. Nishino, Haruhisa & Kakamu, Kazuhiko, 2015. "A random walk stochastic volatility model for income inequality," Japan and the World Economy, Elsevier, vol. 36(C), pages 21-28.
    104. Anton Cheremukhin, 2010. "Labor Matching Model: Putting the Pieces Together," 2010 Meeting Papers 260, Society for Economic Dynamics.
    105. Dorfman, Jeffrey H. & Atkinson, Scott E., 2002. "Multiple Comparisons With The Best: Bayesian Precision Measures Of Efficiency Rankings," 2002 Annual meeting, July 28-31, Long Beach, CA 19800, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    106. Rituparna Sen & Anandamayee Majumdar & Shubhangi Sikaria, 2022. "Bayesian Testing of Granger Causality in Functional Time Series," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(1), pages 191-210, September.
    107. Juan F. Rubio-Ramirez & Daniel F. Waggoner & Tao Zha, 2008. "Structural vector autoregressions: theory of identification and algorithms for inference," FRB Atlanta Working Paper 2008-18, Federal Reserve Bank of Atlanta.
    108. Marcelle Chauvet & Simon Potter, 2005. "Forecasting recessions using the yield curve," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 77-103.
    109. Chang, Yoosoon & Maih, Junior & Tan, Fei, 2021. "Origins of monetary policy shifts: A New approach to regime switching in DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    110. Marcelle, Chauvet & Simon, Potter, 2007. "Monitoring Business Cycles with Structural Breaks," MPRA Paper 15097, University Library of Munich, Germany, revised 31 Apr 2009.
    111. Breitenlechner, Max & Georgiadis, Georgios & Schumann, Ben, 2022. "What goes around comes around: How large are spillbacks from US monetary policy?," Journal of Monetary Economics, Elsevier, vol. 131(C), pages 45-60.
    112. Hao Jia & Stergios Skaperdas, 2011. "Technologies of Conflict," Working Papers 101111, University of California-Irvine, Department of Economics.
    113. Kamber, Gunes & McDonald, Chris & Sander, Nick & Theodoridis, Konstantinos, 2016. "Modelling the business cycle of a small open economy: The Reserve Bank of New Zealand's DSGE model," Economic Modelling, Elsevier, vol. 59(C), pages 546-569.
    114. Kajal Lahiri & Fushang Liu, 2006. "Modelling multi‐period inflation uncertainty using a panel of density forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1199-1219, December.
    115. van Dijk, H.K., 2002. "On Bayesian structural inference in a simultaneous equation model," Econometric Institute Research Papers EI 2002-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    116. Paul Levine & Peter McAdam & Joseph Pearlman, 2007. "Inflation-Forecast-Based Rules and Indeterminacy: A Puzzle and a Resolution," International Journal of Central Banking, International Journal of Central Banking, vol. 3(4), pages 77-110, December.
    117. Zinna, Gabriele, 2014. "Identifying risks in emerging market sovereign and corporate bond spreads," Emerging Markets Review, Elsevier, vol. 20(C), pages 1-22.
    118. Mumtaz, Haroon & Zanetti, Francesco, 2016. "The Effect Of Labor And Financial Frictions On Aggregate Fluctuations," Macroeconomic Dynamics, Cambridge University Press, vol. 20(1), pages 313-341, January.
    119. HOOGERHEIDE, Lennart F. & KAASHOEK, Johan F. & van DIJK, Herman K., 2007. "On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: an application of flexible sampling methods using neural networks," LIDAM Reprints CORE 1922, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    120. Villani, Mattias, 2005. "Bayesian Inference of General Linear Restrictions on the Cointegration Space," Working Paper Series 189, Sveriges Riksbank (Central Bank of Sweden).
    121. Waggoner, Daniel F. & Wu, Hongwei & Zha, Tao, 2016. "Striated Metropolis–Hastings sampler for high-dimensional models," Journal of Econometrics, Elsevier, vol. 192(2), pages 406-420.
    122. Ms. Susan S. Yang & Ms. Nora Traum, 2010. "Monetary and Fiscal Policy Interactions in the Post-war U.S," IMF Working Papers 2010/243, International Monetary Fund.
    123. Drissi, Ramzi & Ghassan, Hassan B., 2018. "Sticky Price versus Sticky Information Price: Empirical Evidence in the New Keynesian Setting," MPRA Paper 93075, University Library of Munich, Germany, revised Apr 2019.
    124. Yasufumi Gemma & Takushi Kurozumi & Mototsugu Shintani, 2017. "Trend Inflation and Evolving Inflation Dynamics: A Bayesian GMM Analysis of the Generalized New Keynesian Phillips Curve," IMES Discussion Paper Series 17-E-10, Institute for Monetary and Economic Studies, Bank of Japan.
    125. Belongia, Michael T. & Ireland, Peter N., 2022. "A reconsideration of money growth rules," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    126. Böhl, Gregor & Strobel, Felix, 2020. "US business cycle dynamics at the zero lower bound," Discussion Papers 65/2020, Deutsche Bundesbank.
    127. Yasuo Hirose, 2008. "Equilibrium Indeterminacy and Asset Price Fluctuation in Japan: A Bayesian Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(5), pages 967-999, August.
    128. Leonardo Melosi, 2014. "Signaling Effects of Monteray Policy," 2014 Meeting Papers 830, Society for Economic Dynamics.
    129. Griffiths, William E. & O'Donnell, Christopher J., 2005. "Estimating variable returns to scale production frontiers with alternative stochastic assumptions," Journal of Econometrics, Elsevier, vol. 126(2), pages 385-409, June.
    130. Woźniak, Tomasz, 2015. "Testing causality between two vectors in multivariate GARCH models," International Journal of Forecasting, Elsevier, vol. 31(3), pages 876-894.
    131. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
    132. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
    133. Benchimol, Jonathan & Fourçans, André, 2012. "Money and risk in a DSGE framework: A Bayesian application to the Eurozone," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 95-111.
    134. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    135. Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2009. "A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model," Finance and Economics Discussion Series 2009-10, Board of Governors of the Federal Reserve System (U.S.).
    136. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2014. "An Empirical Assessment of Optimal Monetary Policy Delegation in the Euro Area," Stirling Economics Discussion Papers 2014-11, University of Stirling, Division of Economics.
    137. Ardia, David & Baştürk, Nalan & Hoogerheide, Lennart & van Dijk, Herman K., 2012. "A comparative study of Monte Carlo methods for efficient evaluation of marginal likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3398-3414.
    138. Görtz, Christoph & Tsoukalas, John, 2011. "News and financial intermediation in aggregate and sectoral fluctuations," MPRA Paper 38986, University Library of Munich, Germany, revised Mar 2012.
    139. Xiaoshan Chen & Ronald Macdonald, 2012. "Realized and Optimal Monetary Policy Rules in an Estimated Markov‐Switching DSGE Model of the United Kingdom," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(6), pages 1091-1116, September.
    140. Agostino Consolo & Carlo A. Favero & Alessia Paccagnini, 2007. "On the Statistical Identification of DSGE Models," Working Papers 324, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    141. Viktor Winschel & Markus Krätzig, 2008. "Solving, Estimating and Selecting Nonlinear Dynamic Models without the Curse of Dimensionality," SFB 649 Discussion Papers SFB649DP2008-018, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    142. Fiorentini, G. & Planas, C. & Rossi, A., 2012. "The marginal likelihood of dynamic mixture models," Computational Statistics & Data Analysis, Elsevier, vol. 56(9), pages 2650-2662.
    143. Zhang, Xibin & King, Maxwell L. & Shang, Han Lin, 2014. "A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density," Computational Statistics & Data Analysis, Elsevier, vol. 78(C), pages 218-234.
    144. Efthymios G. Tsionas & Kien C. Tran & Panayotis G. Michaelides, 2019. "Bayesian inference in threshold stochastic frontier models," Empirical Economics, Springer, vol. 56(2), pages 399-422, February.
    145. Hirose, Yasuo, 2020. "An Estimated Dsge Model With A Deflation Steady State," Macroeconomic Dynamics, Cambridge University Press, vol. 24(5), pages 1151-1185, July.
    146. Jonathan Benchimol, 2011. "Money in the production function: a New Keynesian DSGE perspective," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00800539, HAL.
    147. Y.K. Tse & Xibin Zhang & Jun Yu, 2002. "Estimation of Hyperbolic Diffusion Using MCMC Method," Monash Econometrics and Business Statistics Working Papers 18/02, Monash University, Department of Econometrics and Business Statistics.
    148. Fernández-Villaverde, J. & Rubio-Ramírez, J.F. & Schorfheide, F., 2016. "Solution and Estimation Methods for DSGE Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 527-724, Elsevier.
    149. Stelios Bekiros & Alessia Paccagnini, 2013. "Policy-oriented macroeconomic forecasting with hybrid DGSE and time-varying parameter VAR models," Working Papers 236, University of Milano-Bicocca, Department of Economics, revised Feb 2013.
    150. Munechika Katayama & Kwang Hwan Kim, 2015. "Inter-sectoral Labor Immobility, Sectoral Co-movement, and News Shocks," Discussion papers e-15-011, Graduate School of Economics , Kyoto University.
    151. Li, Mingliang & Tobias, Justin L., 2011. "Bayesian inference in a correlated random coefficients model: Modeling causal effect heterogeneity with an application to heterogeneous returns to schooling," Journal of Econometrics, Elsevier, vol. 162(2), pages 345-361, June.
    152. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2005. "Measuring technical and allocative inefficiency in the translog cost system: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 126(2), pages 355-384, June.
    153. Renata Wróbel-Rotter, 2016. "Impulse Response Functions in the Dynamic Stochastic General Equilibrium Vector Autoregression Model," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(2), pages 93-114, June.
    154. Thomas Lubik & Frank Schorfheide, 2006. "A Bayesian Look at New Open Economy Macroeconomics," NBER Chapters, in: NBER Macroeconomics Annual 2005, Volume 20, pages 313-382, National Bureau of Economic Research, Inc.
    155. Gantert, Konstantin, 2022. "The impact of active aggregate demand on utilisation-adjusted TFP," IWH Discussion Papers 9/2022, Halle Institute for Economic Research (IWH).
    156. Konstantinos Theodoridis & Francesco Zanetti, 2016. "News shocks and labour market dynamics in matching models," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 906-930, August.
    157. Fujiwara, Ippei & Hara, Naoko & Hirose, Yasuo & Teranishi, Yuki, 2005. "The Japanese Economic Model (JEM)," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 23(2), pages 61-142, May.
    158. Fabrice Collard & Harris Dellas, 2008. "Monetary Policy and Inflation in the 70s," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(8), pages 1765-1781, December.
    159. Cristiano Cantore & Paul Levine & Joseph Pearlman & Bo Yang, 2014. "CES Technology and Business Cycle Fluctuations," School of Economics Discussion Papers 0414, School of Economics, University of Surrey.
    160. Queijo von Heideken, Virginia, 2008. "How Important are Financial Frictions in the U.S. and the Euro Area?," Working Paper Series 223, Sveriges Riksbank (Central Bank of Sweden).
    161. Wan, Alan T. K. & Zou, Guohua, 2003. "Optimal critical values of pre-tests when estimating the regression error variance: analytical findings under a general loss structure," Journal of Econometrics, Elsevier, vol. 114(1), pages 165-196, May.
    162. Vasco J. Gabriel & Paul Levine & Bo Yang, 2023. "Partial dollarization and financial frictions in emerging economies," Review of International Economics, Wiley Blackwell, vol. 31(2), pages 609-651, May.
    163. McCAUSLAND, William J., 2004. "Time Reversibility of Stationary Regular Finite State Markov Chains," Cahiers de recherche 09-2004, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    164. Chen, Xiaoshan & Leeper, Eric M. & Leith, Campbell, 2015. "US Monetary and Fiscal Policies - Conflict or Cooperation?," SIRE Discussion Papers 2015-77, Scottish Institute for Research in Economics (SIRE).
    165. Warne, Anders, 2006. "Bayesian inference in cointegrated VAR models: with applications to the demand for euro area M3," Working Paper Series 692, European Central Bank.
    166. Rituparna Sen & Anandamayee Majumdar & Shubhangi Sikaria, 2021. "Bayesian Testing Of Granger Causality In Functional Time Series," Papers 2112.15315, arXiv.org.
    167. Patel, Pankaj C. & Tsionas, Mike G., 2022. "Cultural interconnectedness in supply chain networks and change in performance: An internal efficiency perspective," International Journal of Production Economics, Elsevier, vol. 243(C).
    168. Liu, Ding & Zhang, Yue & Sun, Weihong, 2020. "Commitment or discretion? An empirical investigation of monetary policy preferences in China," Economic Modelling, Elsevier, vol. 85(C), pages 409-419.
    169. Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011. "Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
    170. Svetlana Bryzgalova & Jiantao Huang & Christian Julliard, 2023. "Bayesian Solutions for the Factor Zoo: We Just Ran Two Quadrillion Models," Journal of Finance, American Finance Association, vol. 78(1), pages 487-557, February.
    171. Cúrdia, Vasco & Finocchiaro, Daria, 2005. "An Estimated DSGE Model for Sweden with a Monetary Regime Change," Seminar Papers 740, Stockholm University, Institute for International Economic Studies.
    172. Cogley, Timothy & De Paoli, Bianca & Matthes, Christian & Nikolov, Kalin & Yates, Tony, 2011. "A Bayesian approach to optimal monetary policy with parameter and model uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2186-2212.
    173. Darcy K. Fudge Kamal & Florence Honoré & Cristina Nistor, 2021. "When the weak are mighty: A two‐sided matching approach to alliance performance," Strategic Management Journal, Wiley Blackwell, vol. 42(5), pages 917-940, May.
    174. Bergholt, Drago & Larsen, Vegard H. & Seneca, Martin, 2019. "Business cycles in an oil economy," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 283-303.
    175. Ms. Keiko Honjo & Mr. Benjamin L Hunt, 2006. "Stabilizing Inflation in Iceland," IMF Working Papers 2006/262, International Monetary Fund.
    176. Marianna Belloc & Ugo Pagano, 2009. "Politics-Business Interaction Paths," CESifo Working Paper Series 2883, CESifo.
    177. de Pooter, M.D. & Ravazzolo, F. & Segers, R. & van Dijk, H.K., 2008. "Bayesian near-boundary analysis in basic macroeconomic time series models," Econometric Institute Research Papers EI 2008-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    178. Nora Traum & Shu-Chun Susan Yang, 2010. "Does Government Debt Crowd Out Investment? A Bayesian DSGE Approach: Working Paper 2010-02," Working Papers 21397, Congressional Budget Office.
    179. Gary Koop, 1999. "Bayesian inference in models based on equilibrium search theory," Edinburgh School of Economics Discussion Paper Series 12, Edinburgh School of Economics, University of Edinburgh.
    180. Yasuo Hirose & Saori Naganuma, 2007. "Structural Estimation of the Output Gap: A Bayesian DSGE Approach for the U.S. Economy," Bank of Japan Working Paper Series 07-E-24, Bank of Japan.
    181. Summers, Peter M., 2004. "Bayesian evidence on the structure of unemployment," Economics Letters, Elsevier, vol. 83(3), pages 299-306, June.
    182. Mattias Villani & Malin Adolfson & Jesper Linde, 2005. "Forecasting Performance of an Open Economy Dynamic Stochastic General Equilibrium Model," Money Macro and Finance (MMF) Research Group Conference 2005 32, Money Macro and Finance Research Group.
    183. John C. Robertson & Ellis W. Tallman, 1999. "Prior parameter uncertainty: Some implications for forecasting and policy analysis with VAR models," FRB Atlanta Working Paper 99-13, Federal Reserve Bank of Atlanta.
    184. Xiaoshan Chen & Tatiana Kirsanova & Campbell Leith, 2013. "How Optimal is US Monetary Policy?," Working Papers 2013_08, Business School - Economics, University of Glasgow.
    185. Taylor, John & Wieland, Volker, 2009. "Surprising comparative properties of monetary models: Results from a new data base," CEPR Discussion Papers 7294, C.E.P.R. Discussion Papers.
    186. Todd E. Clark & Taeyoung Doh, 2011. "A Bayesian evaluation of alternative models of trend inflation," Working Papers (Old Series) 1134, Federal Reserve Bank of Cleveland.
    187. Francesco Bianchi & Giovanni Nicolo, 2019. "A Generalized Approach to Indeterminacy in Linear Rational Expectations Models," Finance and Economics Discussion Series 2019-033, Board of Governors of the Federal Reserve System (U.S.).
    188. Carlo A. Favero, 2007. "Model Evaluation in Macroeconometrics: from early empirical macroeconomic models to DSGE models," Working Papers 327, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    189. Nicoletta Batini & Alejandro Justiniano & Paul Levine & Joseph Pearlman, 2004. "Robust Inflation-Forecast-Based Rules to Shield against Indeterminacy," School of Economics Discussion Papers 0804, School of Economics, University of Surrey.
    190. John B. Taylor, 2016. "The Staying Power of Staggered Wage and Price Setting Models in Macroeconomics," NBER Working Papers 22356, National Bureau of Economic Research, Inc.
    191. Tsionas, Mike G., 2023. "Joint production in stochastic non-parametric envelopment of data with firm-specific directions," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1336-1347.
    192. Leonardo Melosi & Eran Yashiv & Renato Faccini, 2016. "Hiring and Investment Frictions as Inflation Determinants," 2016 Meeting Papers 1606, Society for Economic Dynamics.
    193. Clark, Todd E. & Davig, Troy, 2011. "Decomposing the declining volatility of long-term inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 35(7), pages 981-999, July.
    194. Eric M. Leeper & Tao Zha, 2002. "Modest Policy Interventions," NBER Working Papers 9192, National Bureau of Economic Research, Inc.
    195. Joshua C. C. Chan, 2022. "Comparing Stochastic Volatility Specifications for Large Bayesian VARs," Papers 2208.13255, arXiv.org.
    196. Ben Aïssa, Mohamed Safouane & Rebei, Nooman, 2012. "Price subsidies and the conduct of monetary policy," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 769-787.
    197. Liesenfeld, Roman & Richard, Jean-François, 2008. "Improving MCMC, using efficient importance sampling," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 272-288, December.
    198. Marcin Kolasa, 2008. "Structural heterogeneity or asymmetric shocks? Poland and the euro area through the lens of a two-country DSGE model," NBP Working Papers 49, Narodowy Bank Polski.
    199. Gelfer, Sacha & Gibbs, Christopher, 2021. "Comparing Monetary Policy Tools in an Estimated DSGE model with International Financial Markets," Working Papers 2021-13, University of Sydney, School of Economics.
    200. Lhuissier, Stéphane & Zabelina, Margarita, 2015. "On the stability of Calvo-style price-setting behavior," Journal of Economic Dynamics and Control, Elsevier, vol. 57(C), pages 77-95.
    201. Chotikapanich, Duangkamon & Griffiths, William E., 2000. "Flexible Distributed Lags," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123623, Australian Agricultural and Resource Economics Society.
    202. Thomas B. King & Andrew T. Levin & Roberto Perli, 2007. "Financial market perceptions of recession risk," Finance and Economics Discussion Series 2007-57, Board of Governors of the Federal Reserve System (U.S.).
    203. McCAUSLAND, William, 2004. "Bayesian Analysis for a Theory of Random Consumer Demand: The Case of Indivisible Goods," Cahiers de recherche 2004-05, Universite de Montreal, Departement de sciences economiques.
    204. Elton Beqiraj & Giovanni Di Bartolomeo & Marco Di Pietro & Carolina Serpieri, 2020. "Bounded rationality and heterogeneous expectations: Euler versus anticipated-utility approach," Journal of Economics, Springer, vol. 130(3), pages 249-273, August.
    205. Tsionas, Mike G., 2019. "Multi-objective optimization using statistical models," European Journal of Operational Research, Elsevier, vol. 276(1), pages 364-378.
    206. Henrike Michaelis & Sebastian Watzka, 2014. "Are there Differences in the Effectiveness of Quantitative Easing at the Zero-Lower-Bound in Japan over Time?," CESifo Working Paper Series 4901, CESifo.
    207. Giovanni Melina & Stefania Villa, 2015. "Leaning Against Windy Bank Lending," CESifo Working Paper Series 5317, CESifo.
    208. Cavallari, Lilia & Etro, Federico, 2020. "Demand, markups and the business cycle," European Economic Review, Elsevier, vol. 127(C).
    209. Hall, Jamie, 2012. "Rapid estimation of nonlinear DSGE models," MPRA Paper 41218, University Library of Munich, Germany.
    210. William E. Griffiths & R. Carter Hill & Christopher J. O'Donnell, 2001. "Including Prior Information in Probit Model Estimation," Department of Economics - Working Papers Series 816, The University of Melbourne.
    211. Saroj Bhattara & Gauti Eggertsson & Raphael Schoenle, 2012. "Is Increased Price Flexibility Stabilizing? Redux," Working Papers 41, Brandeis University, Department of Economics and International Business School.
    212. Hibiki Ichiue & Takushi Kurozumi & Takeki Sunakawa, 2008. "Inflation Dynamics and Labor Adjustments in Japan: A Bayesian DSGE Approach," Bank of Japan Working Paper Series 08-E-9, Bank of Japan.
    213. James M. Nason & John H. Rogers, 2008. "Exchange rates and fundamentals: a generalization," International Finance Discussion Papers 948, Board of Governors of the Federal Reserve System (U.S.).
    214. Riccardo Cristadoro & Andrea Gerali & Stefano Neri & Massimiliano Pisani, 2008. "Real exchange rate volatility and disconnect: an empirical investigation," Temi di discussione (Economic working papers) 660, Bank of Italy, Economic Research and International Relations Area.
    215. Eric M. Leeper & Nora Traum & Todd B. Walker, 2015. "Clearing Up the Fiscal Multiplier Morass: Prior and Posterior Analysis," NBER Working Papers 21433, National Bureau of Economic Research, Inc.
    216. Niels Arne Dam & Carlos Carvalho, 2009. "Estimating the Cross-sectional Distribution of Price Stickiness from Aggregate Data," 2009 Meeting Papers 702, Society for Economic Dynamics.
    217. Lubik, Thomas A. & Matthes, Christian, 2016. "Indeterminacy and learning: An analysis of monetary policy in the Great Inflation," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 85-106.
    218. Villa, Stefania, 2016. "Financial Frictions In The Euro Area And The United States: A Bayesian Assessment," Macroeconomic Dynamics, Cambridge University Press, vol. 20(5), pages 1313-1340, July.
    219. Xibin Zhang & Maxwell L. King & Han Lin Shang, 2011. "Bayesian estimation of bandwidths for a nonparametric regression model with a flexible error density," Monash Econometrics and Business Statistics Working Papers 10/11, Monash University, Department of Econometrics and Business Statistics.
    220. Coenen, Günter & Straub, Roland, 2005. "Does government spending crowd in private consumption? Theory and empirical evidence for the euro area," Working Paper Series 513, European Central Bank.
    221. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2018. "Debt Crisis in Europe (2001-2015): A Network General Equilibrium GVAR approach," MPRA Paper 89998, University Library of Munich, Germany.
    222. Philip Liu, 2006. "Gains From Commitment Policy For A Small Open Economy: The Case Of New Zealand," CAMA Working Papers 2006-25, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    223. Zheng Liu, 2009. "Sources of the Great Moderation: Shocks, Frictions, or Monetary Policy?," 2009 Meeting Papers 379, Society for Economic Dynamics.
    224. Leonardo Melosi, 2017. "Signalling Effects of Monetary Policy," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(2), pages 853-884.
    225. Florence Honoré & Martin Ganco, 2016. "Entrepreneurial teams' acquisition of talent: a two-sided approach," Working Papers 16-45, Center for Economic Studies, U.S. Census Bureau.
    226. Duangkamon Chotikapanich & William E. Griffiths, 2003. "Averaging Lorenz Curves," Monash Econometrics and Business Statistics Working Papers 22/03, Monash University, Department of Econometrics and Business Statistics.
    227. Ippei Fujiwara & Yasuo Hirose & Mototsugu Shintani, 2011. "Can News Be a Major Source of Aggregate Fluctuations? A Bayesian DSGE Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(1), pages 1-29, February.
    228. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2022. "Uncertain identification," Quantitative Economics, Econometric Society, vol. 13(1), pages 95-123, January.
    229. C.S. Forbes & G.M. Martin & J. Wright, 2002. "Bayesian Estimation of a Stochastic Volatility Model Using Option and Spot Prices," Monash Econometrics and Business Statistics Working Papers 2/02, Monash University, Department of Econometrics and Business Statistics.
    230. Cristina Fuentes-Albero & Leonardo Melosi, 2011. "Methods for Computing Marginal Data Densities from the Gibbs Output," Departmental Working Papers 201131, Rutgers University, Department of Economics.
    231. Wolfgang Aussenegg & Tatiana Miazhynskaia, 2006. "Uncertainty in Value-at-risk Estimates under Parametric and Non-parametric Modeling," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 20(3), pages 243-264, September.
    232. Anton A. Cheremukhin, 2011. "Labor matching: putting the pieces together," Working Papers 1102, Federal Reserve Bank of Dallas.
    233. Koop, G. & van Dijk, H.K., 1999. "Testing for integration using evolving trend and seasonal models: A Bayesian approach," Econometric Institute Research Papers EI 9934/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    234. Andrew Hodge & Tim Robinson & Robyn Stuart, 2008. "A Small BVAR-DSGE Model for Forecasting the Australian Economy," RBA Research Discussion Papers rdp2008-04, Reserve Bank of Australia.
    235. Markku Lanne & Arto Luoma & Jani Luoto, 2012. "Bayesian Model Selection And Forecasting In Noncausal Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 812-830, August.
    236. Markku Lanne & Jani Luoto, 2014. "Noncausal Bayesian Vector Autoregression," CREATES Research Papers 2014-07, Department of Economics and Business Economics, Aarhus University.
    237. de Pooter, M.D. & Segers, R. & van Dijk, H.K., 2006. "Gibbs sampling in econometric practice," Econometric Institute Research Papers EI 2006-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    238. Mr. Nooman Rebei, 2012. "What (Really) Accounts for the Fall in Hours After a Technology Shock?," IMF Working Papers 2012/211, International Monetary Fund.
    239. Veyssiere, Luc Pierre, 2009. "A three essays dissertation on agricultural and environmental microeconomics," ISU General Staff Papers 200901010800001958, Iowa State University, Department of Economics.
    240. Fabio Milani, 2009. "Adaptive Learning and Macroeconomic Inertia in the Euro Area," Journal of Common Market Studies, Wiley Blackwell, vol. 47(3), pages 579-599, June.
    241. Qureshi, Irfan, 2018. "Money Aggregates and Determinacy : A Reinterpretation of Monetary Policy During the Great Inflation," The Warwick Economics Research Paper Series (TWERPS) 1156, University of Warwick, Department of Economics.
    242. Stefan Leist, 2013. "Driving Forces of the Swiss Output Gap," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 149(IV), pages 493-531, December.
    243. Koop, G. & Strachan, R.W. & van Dijk, H.K. & Villani, M., 2005. "Bayesian approaches to cointegratrion," Econometric Institute Research Papers EI 2005-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    244. Troy Davig & Taeyoung Doh, 2014. "Monetary Policy Regime Shifts and Inflation Persistence," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 862-875, December.
    245. Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2016. "Bayesian Vector Autoregressions with Non-Gaussian Shocks," CReMFi Discussion Papers 5, CReMFi, School of Economics and Finance, QMUL.
    246. Gareis, Johannes & Mayer, Eric, 2012. "What drives Ireland's housing market? A Bayesian DSGE approach," W.E.P. - Würzburg Economic Papers 88, University of Würzburg, Department of Economics.
    247. Sami Alpanda & Uluc Aysun & Serdar Kabaca, 2022. "International Portfolio Rebalancing and Fiscal Policy Spillovers," Working Papers 2022-01, University of Central Florida, Department of Economics.
    248. Yasuo Hirose & Takeki Sunakawa, 2019. "Review of Solution and Estimation Methods for Nonlinear Dynamic Stochastic General Equilibrium Models with the Zero Lower Bound," The Japanese Economic Review, Japanese Economic Association, vol. 70(1), pages 51-104, March.
    249. Takashi Kano & Hafedh Bouakez, 2005. "Learning-by-Doing or Habit Formation?," 2005 Meeting Papers 513, Society for Economic Dynamics.
    250. Aeimit Lakdawala & Davide Debortoli, 2013. "How credible is the Federal Reserve?:A structural estimation of policy re-optimizations," 2013 Meeting Papers 1333, Society for Economic Dynamics.
    251. Waggoner, Daniel F. & Zha, Tao, 2012. "Confronting model misspecification in macroeconomics," Journal of Econometrics, Elsevier, vol. 171(2), pages 167-184.
    252. Punnoose Jacob & Anella Munro, 2016. "A macroprudential stable funding requirement and monetary policy in a small open economy," CAMA Working Papers 2016-23, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    253. Troy Matheson, 2006. "Assessing the fit of small open economy DSGEs," Reserve Bank of New Zealand Discussion Paper Series DP2006/11, Reserve Bank of New Zealand.
    254. Thomai Filippeli, 2011. "Theoretical Priors for BVAR Models & Quasi-Bayesian DSGE Model Estimation," 2011 Meeting Papers 396, Society for Economic Dynamics.
    255. Malin Adolfson & Jesper Linde & Mattias Villani, 2007. "Forecasting Performance of an Open Economy DSGE Model," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 289-328.
    256. Sienknecht, Sebastian, 2016. "Reassessing price adjustment costs in DSGE models," MPRA Paper 73763, University Library of Munich, Germany.
    257. Dahem, Ahlem & Skander, Slim & Fatma, Siala Guermazi, 2017. "Time Varying VAR Analysis for Disaggregated Exchange Rate Pass-through in Tunisia," MPRA Paper 79759, University Library of Munich, Germany, revised 2017.
    258. Qureshi, Irfan, 2017. "Monetary Policy Shifts and Central Bank Independence," The Warwick Economics Research Paper Series (TWERPS) 1139, University of Warwick, Department of Economics.
    259. Tsionas, Mike G. & Philippas, Dionisis & Philippas, Nikolaos, 2022. "Multivariate stochastic volatility for herding detection: Evidence from the energy sector," Energy Economics, Elsevier, vol. 109(C).
    260. Warne, Anders & Droumaguet, Matthieu & Woźniak, Tomasz, 2015. "Granger causality and regime inference in Bayesian Markov-Switching VARs," Working Paper Series 1794, European Central Bank.
    261. Nicoletta Batini & Paul Levine, 2004. "Robust Control Rules to Shield Against Indeterminacy," Computing in Economics and Finance 2004 339, Society for Computational Economics.
    262. Ross Doppelt & Keith O'Hara, 2018. "Bayesian Estimation of Fractionally Integrated Vector Autoregressions and an Application to Identified Technology Shocks," 2018 Meeting Papers 1212, Society for Economic Dynamics.
    263. Carlos Viana de Carvalho & Niels Arne Dam & Jae Won Lee, 2014. "Real Rigidities and the Cross-Sectional Distribution of Price Stickiness: Evidence from Micro and Macro Data Combined," Textos para discussão 634, Department of Economics PUC-Rio (Brazil).
    264. Ms. Dora M Iakova, 2007. "Flattening of the Phillips Curve: Implications for Monetary Policy," IMF Working Papers 2007/076, International Monetary Fund.
    265. Brian Hanlon & Catherine Forbes, 2002. "Model Selection Criteria for Segmented Time Series from a Bayesian Approach to Information Compression," Monash Econometrics and Business Statistics Working Papers 8/02, Monash University, Department of Econometrics and Business Statistics.
    266. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011. "Combination Schemes for Turning Point Predictions," Tinbergen Institute Discussion Papers 11-123/4, Tinbergen Institute.
    267. Lorenzo Forni & Andrea Gerali & Alessandro Notarpietro & Massimiliano Pisani, 2012. "Euro area and global oil shocks: an empirical model-based analysis," Temi di discussione (Economic working papers) 873, Bank of Italy, Economic Research and International Relations Area.
    268. Jouini, Nizar & Rebei, Nooman, 2014. "The welfare implications of services liberalization in a developing country," Journal of Development Economics, Elsevier, vol. 106(C), pages 1-14.
    269. Michele Loberto & Chiara Perricone, 2015. "Does trend inflation make a difference?," Temi di discussione (Economic working papers) 1033, Bank of Italy, Economic Research and International Relations Area.
    270. Eric M. Leeper & Nora Traum & Todd B. Walker, 2015. "Clearing Up the Fiscal Multiplier Morass," CAEPR Working Papers 2015-013, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    271. Drago Bergholt, 2015. "Foreign shocks," Working Paper 2015/15, Norges Bank.
      • Drago Bergholt, 2015. "Foreign Shocks," Working Papers No 11/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    272. Joshua C.C. Chan & Angelia L. Grant, 2015. "Pitfalls of Estimating the Marginal Likelihood Using the Modified Harmonic Mean," CAMA Working Papers 2015-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    273. Stelios Bekiros & Alessia Paccagnini, 2013. "On the predictability of time-varying VAR and DSGE models," Empirical Economics, Springer, vol. 45(1), pages 635-664, August.
    274. Markus Brunnermeier & Darius Palia & Karthik A. Sastry & Christopher A. Sims, 2021. "Feedbacks: Financial Markets and Economic Activity," American Economic Review, American Economic Association, vol. 111(6), pages 1845-1879, June.
    275. Vasco Curdia & Andrea Ferrero & Ging Cee Ng & Andrea Tambalotti, 2014. "Has U.S. Monetary Policy Tracked the Efficient Interest Rate?," Working Paper Series 2014-12, Federal Reserve Bank of San Francisco.
    276. Alexander Rathke & Samad Sarferaz, 2014. "Malthus and the Industrial Revolution: Evidence from a Time-Varying VAR," CESifo Working Paper Series 4667, CESifo.
    277. Li, Kai & Poirier, Dale J., 2003. "An econometric model of birth inputs and outputs for Native Americans," Journal of Econometrics, Elsevier, vol. 113(2), pages 337-361, April.
    278. Sauer, J., 2009. "Quota Deregulation and Organic versus Conventional Milk – A Bayesian Distance Function Approach," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 44, March.
    279. Philip Liu, 2007. "Stabilizing The Australian Business Cycle: Good Luck Or Good Policy?," CAMA Working Papers 2007-24, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    280. McAdam, Peter & Levine, Paul & Pearlman, Joseph G., 2007. "Quantifying and sustaining welfare gains from monetary commitment," Working Paper Series 709, European Central Bank.
    281. Naoko Hara & Munechika Katayama & Ryo Kato, 2014. "Rising Skill Premium?: The Roles of Capital-Skill Complementarity and Sectoral Shifts in a Two-Sector Economy," Bank of Japan Working Paper Series 14-E-9, Bank of Japan.
    282. Stelios D. Bekiros & Alessia Paccagnini, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Open Access publications 10197/7322, School of Economics, University College Dublin.
    283. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2017. "An empirical assessment of Optimal Monetary Policy in the Euro area," European Economic Review, Elsevier, vol. 100(C), pages 95-115.
    284. Choi, Jinho & Hur, Joonyoung, 2015. "An examination of macroeconomic fluctuations in Korea exploiting a Markov-switching DSGE approach," Economic Modelling, Elsevier, vol. 51(C), pages 183-199.
    285. Charles S. Bos & Ronald J. Mahieu & Herman K. Van Dijk, 2000. "Daily exchange rate behaviour and hedging of currency risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 671-696.
    286. Giacomo Candian & Mikhail Dmitriev, 2019. "Default Recovery Rates and Aggregate Fluctuations," Working Papers wp2019_09_01, Department of Economics, Florida State University.
    287. Takushi Kurozumi & Ryohei Oishi, 2022. "A Comparison of Japanese and US New Keynesian Phillips Curves with Bayesian VAR-GMM," Bank of Japan Working Paper Series 22-E-3, Bank of Japan.
    288. Shulgin, Andrei, 2014. "How much monetary policy rules do we need to estimate DSGE model for Russia?," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 36(4), pages 3-31.
    289. Jung Yong-Gook, 2015. "Investment lags and macroeconomic dynamics," The B.E. Journal of Macroeconomics, De Gruyter, vol. 15(1), pages 1-43, January.
    290. Shami, R.G. & Forbes, C.S., 2000. "A structural Time Series Model with Markov Switching," Monash Econometrics and Business Statistics Working Papers 10/00, Monash University, Department of Econometrics and Business Statistics.
    291. Leeper, Eric M. & Plante, Michael & Traum, Nora, 2010. "Dynamics of fiscal financing in the United States," Journal of Econometrics, Elsevier, vol. 156(2), pages 304-321, June.
    292. Gael Martin, 2001. "Bayesian Analysis Of A Fractional Cointegration Model," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 217-234.
    293. Ewen Gallic & Gauthier Vermandel, 2019. "Weather Shocks," Working Papers halshs-02127846, HAL.
    294. Tristani, Oreste & Amisano, Gianni, 2007. "Euro area inflation persistence in an estimated nonlinear DSGE model," Working Paper Series 754, European Central Bank.
    295. Filippeli, Thomai & Harrison, Richard & Theodoridis, Konstantinos, 2018. "DSGE-based Priors for BVARs & Quasi-Bayesian DSGE Estimation," Cardiff Economics Working Papers E2018/5, Cardiff University, Cardiff Business School, Economics Section.
    296. Villani, Mattias & Larsson, Rolf, 2004. "The Multivariate Split Normal Distribution and Asymmetric Principal Components Analysis," Working Paper Series 175, Sveriges Riksbank (Central Bank of Sweden).
    297. Thomas A. Lubik, 2016. "How Large Are Returns to Scale in the U.S.? A View Across the Boundary," Economic Quarterly, Federal Reserve Bank of Richmond, issue 1Q, pages 79-103.
    298. Bech, Morten L. & Chapman, James T.E. & Garratt, Rodney J., 2010. "Which bank is the "central" bank?," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 352-363, April.
    299. Jarkko Jääskelä & Rebecca McKibbin, 2010. "Learning in an Estimated Small Open Economy Model," RBA Research Discussion Papers rdp2010-02, Reserve Bank of Australia.
    300. Kenneth Clements & Yihui Lan & Xueyan Zhao, 2010. "The demand for marijuana, tobacco and alcohol: inter-commodity interactions with uncertainty," Empirical Economics, Springer, vol. 39(1), pages 203-239, August.
    301. Christopher A. Sims & Daniel F. Waggoner & Tao Zha, 2006. "Methods for inference in large multiple-equation Markov-switching models," FRB Atlanta Working Paper 2006-22, Federal Reserve Bank of Atlanta.
    302. Paul Levine & Joseph Pearlman & Bo Yang, 2008. "The Credibility Problem Revisited: Thirty Years on from Kydland and Prescott," Review of International Economics, Wiley Blackwell, vol. 16(4), pages 728-746, September.
    303. Morita, Hiroshi, 2015. "State-dependent effects of fiscal policy in Japan: Do rule-of-thumb households increase the effects of fiscal policy?," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 49-61.
    304. Mr. Alejandro Justiniano Espigares & Mr. Selim A Elekdag & Mr. Ivan Tchakarov, 2005. "An Estimated Small Open Economy Model of the Financial Accelerator," IMF Working Papers 2005/044, International Monetary Fund.
    305. Jean Boivin & Marc Giannoni, 2006. "DSGE Models in a Data-Rich Environment," NBER Technical Working Papers 0332, National Bureau of Economic Research, Inc.
    306. Christoffel, Kai & Coenen, Gunter & Warne, Anders, 2007. "Conditional versus unconditional forecasting with the New Area-Wide Model of the euro area," MPRA Paper 76759, University Library of Munich, Germany.
    307. Gianni Amisano & Massimiliano Serati, 2003. "Unemployment persistence in Italy. An econometric analysis with multivariate time varying parameter models," LIUC Papers in Economics 121, Cattaneo University (LIUC).
    308. Chen, Han, 2017. "The effects of the near-zero interest rate policy in a regime-switching dynamic stochastic general equilibrium model," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 176-192.
    309. Jung, Yong-Gook, 2013. "An inference about the length of the time-to-build period," Economic Modelling, Elsevier, vol. 33(C), pages 42-54.
    310. Kumbhakar, Subal C. & Tsionas, Mike G., 2021. "Dissections of input and output efficiency: A generalized stochastic frontier model," International Journal of Production Economics, Elsevier, vol. 232(C).
    311. Mumtaz, Haroon, 2011. "Estimating the impact of the volatility of shocks: a structural VAR approach," Bank of England working papers 437, Bank of England.
    312. Thomas A Lubik, 2005. "A Simple, Structural, and Empirical Model of the Antipodean Transmission Mechanism," Reserve Bank of New Zealand Discussion Paper Series DP2005/06, Reserve Bank of New Zealand.
    313. John Geweke & Gautam Gowrisankaran & Robert J. Town, 2001. "Bayesian Inference for Hospital Quality in a Selection Model," NBER Working Papers 8497, National Bureau of Economic Research, Inc.
    314. Valerio Scalone, 2015. "Estimating Non-Linear DSGEs with the Approximate Bayesian Computation: an application to the Zero Lower Bound," Working Papers 6/15, Sapienza University of Rome, DISS.
    315. Richard Kleijn & Herman K. van Dijk, 2001. "A Bayesian Analysis of the PPP Puzzle using an Unobserved Components Model," Tinbergen Institute Discussion Papers 01-105/4, Tinbergen Institute.
    316. Di Bartolomeo Giovanni & Di Pietro Marco, 2013. "Price and wage inflation inertia under time-dependent adjustments," wp.comunite 0103, Department of Communication, University of Teramo.
    317. Takushi Kurozumi & Ryohei Oishi & Willem Van Zandweghe, 2022. "Sticky Information Versus Sticky Prices Revisited: A Bayesian VAR-GMM Approach," Working Papers 22-34, Federal Reserve Bank of Cleveland.
    318. Marcelle Chauvet & Chinhui Juhn & Simon M. Potter, 2001. "Markov switching in disaggregate unemployment rates," Staff Reports 132, Federal Reserve Bank of New York.
    319. Thomai Filippeli & Konstantinos Theodoridis, 2014. "DSGE Priors for BVAR Models," Working Papers 713, Queen Mary University of London, School of Economics and Finance.
    320. Isaiah Andrews & Jesse M. Shapiro, 2020. "A Model of Scientific Communication," NBER Working Papers 26824, National Bureau of Economic Research, Inc.
    321. Sauer, Johannes, 2008. "Quota Deregulation and Organic versus Conventional Milk – A Bayesian Distance Function Approach," 82nd Annual Conference, March 31 - April 2, 2008, Royal Agricultural College, Cirencester, UK 36869, Agricultural Economics Society.
    322. Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2018. "The global component of inflation volatility," Temi di discussione (Economic working papers) 1170, Bank of Italy, Economic Research and International Relations Area.
    323. Wolf, Elias, 2022. "Estimating growth at risk with skewed stochastic volatility models," Discussion Papers 2022/2, Free University Berlin, School of Business & Economics.
    324. Jan Babecky & Michal Franta & Jakub Rysanek, 2016. "Effects of Fiscal Policy in the DSGE-VAR Framework: The Case of the Czech Republic," Working Papers 2016/09, Czech National Bank.
    325. Christopher A. Sims & Tao Zha, 2004. "MCMC method for Markov mixture simultaneous-equation models: a note," FRB Atlanta Working Paper 2004-15, Federal Reserve Bank of Atlanta.
    326. Benjamin K. Johannsen & Elmar Mertens, 2016. "A Time Series Model of Interest Rates With the Effective Lower Bound," Finance and Economics Discussion Series 2016-033, Board of Governors of the Federal Reserve System (U.S.).
    327. Zhao, Xueyan & Griffiths, William E. & Griffith, Garry R. & Mullen, John D., 2000. "Probability distributions for economic surplus changes: the case of technical change in the Australian wool industry," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(1), pages 1-24.
    328. Philip Arestis & Georgios Chortareas & John D. Tsoukalas, 2010. "Money and Information in a New Neoclassical Synthesis Framework," Discussion Papers 10/01, University of Nottingham, School of Economics.
    329. Juin-Jen Chang & Hsieh-Yu Lin & Ms. Nora Traum & Susan Yang Shu-Chun, 2019. "Fiscal Consolidation and Public Wages," IMF Working Papers 2019/125, International Monetary Fund.
    330. Xibin Zhang & Maxwell L. King, 2011. "Bayesian semiparametric GARCH models," Monash Econometrics and Business Statistics Working Papers 24/11, Monash University, Department of Econometrics and Business Statistics.
    331. Thomas A. Lubik & Frank Schorfheide, 2004. "Testing for Indeterminacy: An Application to U.S. Monetary Policy," American Economic Review, American Economic Association, vol. 94(1), pages 190-217, March.
    332. Lilia Cavallari & Federico Etro, 2017. "Demand, Markups and the Business Cycle. Bayesian Estimation and Quantitative Analysis in Closed and Open Economies," Working Papers 2017:09, Department of Economics, University of Venice "Ca' Foscari".
    333. Giovanni Nicolo, 2020. "Monetary Policy, Self-Fulfilling Expectations and the U.S. Business Cycle," Finance and Economics Discussion Series 2020-035, Board of Governors of the Federal Reserve System (U.S.).
    334. Song Li & Mervyn J. Silvapulle & Param Silvapulle & Xibin Zhang, 2015. "Bayesian Approaches to Nonparametric Estimation of Densities on the Unit Interval," Econometric Reviews, Taylor & Francis Journals, vol. 34(3), pages 394-412, March.
    335. Ercolani, Valerio & Valle e Azevedo, João, 2014. "The effects of public spending externalities," Journal of Economic Dynamics and Control, Elsevier, vol. 46(C), pages 173-199.
    336. Di Bartolomeo Giovanni & Di Pietro Marco, 2015. "Intrinsic persistence of wage inflation in New Keynesian models of the business cycles," wp.comunite 0118, Department of Communication, University of Teramo.
    337. Viktors Ajevskis & Kristine Vitola, 2011. "Fixed Exchange Rate Versus Inflation Targeting: Evidence from DSGE Modelling," Working Papers 2011/02, Latvijas Banka.
    338. Kano, Takashi & 加納, 隆 & Nason, James M., 2012. "Appendix: Business Cycle Implications of Internal Consumption Habit for New Keynesian Models," Discussion Papers 2012-08, Graduate School of Economics, Hitotsubashi University.
    339. Chew Lian Chua & Peter Summers, 2004. "Structural Error Correction Model: A Bayesian Perspective," Econometric Society 2004 Far Eastern Meetings 702, Econometric Society.
    340. Canova, Fabio & Ferroni, Filippo, 2020. "A hitchhiker guide to empirical macro models," CEPR Discussion Papers 15446, C.E.P.R. Discussion Papers.
    341. Riggi, Marianna & Tancioni, Massimiliano, 2010. "Nominal vs real wage rigidities in New Keynesian models with hiring costs: A Bayesian evaluation," Journal of Economic Dynamics and Control, Elsevier, vol. 34(7), pages 1305-1324, July.
    342. Richard Dennis, 2006. "The frequency of price adjustment and New Keynesian business cycle dynamics," Working Paper Series 2006-22, Federal Reserve Bank of San Francisco.
    343. Shayan Zakipour-Saber, 2019. "Monetary policy regimes and inflation persistence in the United Kingdom," Working Papers 895, Queen Mary University of London, School of Economics and Finance.
    344. Iwasaki, Yuto & Muto, Ichiro & Shintani, Mototsugu, 2021. "Missing wage inflation? Estimating the natural rate of unemployment in a nonlinear DSGE model," European Economic Review, Elsevier, vol. 132(C).
    345. Geweke, John, 2001. "Bayesian econometrics and forecasting," Journal of Econometrics, Elsevier, vol. 100(1), pages 11-15, January.
    346. Kobayashi, Genya, 2014. "A transdimensional approximate Bayesian computation using the pseudo-marginal approach for model choice," Computational Statistics & Data Analysis, Elsevier, vol. 80(C), pages 167-183.
    347. Hinterschweiger, Marc & Khairnar, Kunal & Ozden, Tolga & Stratton, Tom, 2021. "Macroprudential policy interactions in a sectoral DSGE model with staggered interest rates," Bank of England working papers 904, Bank of England.
    348. Pablo Guerrón-Quintana & Alexey Khazanov & Molin Zhong, 2023. "Financial and Macroeconomic Data Through the Lens of a Nonlinear Dynamic Factor Model," Finance and Economics Discussion Series 2023-027, Board of Governors of the Federal Reserve System (U.S.).
    349. Giovanni Di Bartolomeo & Lorenza Rossi & Massimiliano Tancioni, 2009. "Monetary Policy, Rule-of-Thumb Consumers and External Habits: A G7 Comparison," Quaderni di Dipartimento 101, University of Pavia, Department of Economics and Quantitative Methods.
    350. Kliem, Martin & Uhlig, Harald, 2013. "Bayesian estimation of a DSGE model with asset prices," Discussion Papers 37/2013, Deutsche Bundesbank.
    351. Oskar Gustafsson & Mattias Villani & Pär Stockhammar, 2023. "Bayesian optimization of hyperparameters from noisy marginal likelihood estimates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 577-595, June.
    352. Dewachter, Hans & Iania, Leonardo & Lyrio, Marco, 2011. "A New-Keynesian Model of the Yield Curve with Learning Dynamics: A Bayesian Evaluation," Insper Working Papers wpe_250, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    353. Vasco Curdia & Andrea Ferrero & Ging Cee Ng & Andrea Tambalotti, 2011. "Evaluating interest rate rules in an estimated DSGE model," Staff Reports 510, Federal Reserve Bank of New York.
    354. Cardani, Roberta & Croitorov, Olga & Giovannini, Massimo & Pfeiffer, Philipp & Ratto, Marco & Vogel, Lukas, 2022. "The euro area’s pandemic recession: A DSGE-based interpretation," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    355. Doğan, Osman, 2023. "Modified harmonic mean method for spatial autoregressive models," Economics Letters, Elsevier, vol. 223(C).
    356. Pytlarczyk, Ernest, 2005. "An estimated DSGE model for the German economy within the euro area," Discussion Paper Series 1: Economic Studies 2005,33, Deutsche Bundesbank.
    357. Voss, G.M. & Willard, L.B., 2009. "Monetary policy and the exchange rate: Evidence from a two-country model," Journal of Macroeconomics, Elsevier, vol. 31(4), pages 708-720, December.
    358. Hirose, Yasuo, 2010. "Monetary policy and sunspot fluctuation in the U.S. and the Euro area," MPRA Paper 33693, University Library of Munich, Germany.
    359. Alexander Kriwoluzky & Christian A. Stoltenberg, 2015. "Monetary Policy and the Transaction Role of Money in the US," Economic Journal, Royal Economic Society, vol. 125(587), pages 1452-1473, September.
    360. Alexander W. Richter & Nathaniel A. Throckmorton, 2016. "Are nonlinear methods necessary at the zero lower bound?," Working Papers 1606, Federal Reserve Bank of Dallas.
    361. Angelia L. Grant, 2017. "The Early Millennium Slowdown: Replicating the Peersman (2005) Results," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 224-232, January.
    362. Valeriane Jokhadze & Wolfgang M. Schmidt, 2020. "Measuring Model Risk In Financial Risk Management And Pricing," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 23(02), pages 1-37, April.
    363. Gallic, Ewen & Vermandel, Gauthier, 2017. "Weather Shocks, Climate Change and Business Cycles," MPRA Paper 81230, University Library of Munich, Germany.
    364. Carlos Carvalho & Niels Arne Dam & Jae Won Lee, 2020. "The Cross-Sectional Distribution of Price Stickiness Implied by Aggregate Data," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 162-179, March.
    365. Lhuissier, Stéphane, 2017. "Financial intermediaries’ instability and euro area macroeconomic dynamics," European Economic Review, Elsevier, vol. 98(C), pages 49-72.
    366. Xibin Zhang & Maxwell L. King, 2013. "Gaussian kernel GARCH models," Monash Econometrics and Business Statistics Working Papers 19/13, Monash University, Department of Econometrics and Business Statistics.
    367. Vasco Gabriel & Paul Levine & Christopher Spencer & Bo Yang, 2008. "On the (ir)relevance of direct supply-side effects of monetary policy," School of Economics Discussion Papers 0408, School of Economics, University of Surrey.
    368. Filippeli, Thomai & Harrison, Richard & Theodoridis, Konstantinos, 2020. "DSGE-based priors for BVARs and quasi-Bayesian DSGE estimation," Econometrics and Statistics, Elsevier, vol. 16(C), pages 1-27.
    369. Pereira de Souza, Marcus Vinicius & Souza, Reinaldo C. & Pessanha, José Francisco M. & da Costa Oliveira, Carlos Henrique & Diallo, Madiagne, 2014. "An application of data envelopment analysis to evaluate the efficiency level of the operational cost of Brazilian electricity distribution utilities," Socio-Economic Planning Sciences, Elsevier, vol. 48(3), pages 169-174.
    370. Hürtgen, Patrick, 2011. "Consumer Misperceptions, Uncertain Fundamentals, and the Business Cycle," Bonn Econ Discussion Papers 10/2011, University of Bonn, Bonn Graduate School of Economics (BGSE).
    371. Fang‐Shuo Chang & Shiu‐Sheng Chen & Po‐Yuan Wang, 2020. "Politics and the UK's monetary policy," Scottish Journal of Political Economy, Scottish Economic Society, vol. 67(5), pages 486-522, November.
    372. Christopher A. Sims & Tao Zha, 2005. "Were There Regime Switches in U.S. Monetary Policy?," Working Papers 92, Princeton University, Department of Economics, Center for Economic Policy Studies..
    373. Oleg Korenok & Norman R. Swanson, 2007. "How Sticky Is Sticky Enough? A Distributional and Impulse Response Analysis of New Keynesian DSGE Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1481-1508, September.
    374. Leonardo Melosi, 2009. "A Likelihood Analysis of Models with Information Frictions," PIER Working Paper Archive 09-009, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    375. Javier García-Cicco, 2010. "Estimating Models for Monetary Policy Analysis in Emerging Countries," Working Papers Central Bank of Chile 561, Central Bank of Chile.
    376. Matthieu Droumaguet & Tomasz Wozniak, 2012. "Bayesian Testing of Granger Causality in Markov-Switching VARs," Economics Working Papers ECO2012/06, European University Institute.
    377. Gantert, Konstantin, 2022. "The Impact of Active Aggregate Demand on Utilization-Adjusted TFP," VfS Annual Conference 2022 (Basel): Big Data in Economics 264103, Verein für Socialpolitik / German Economic Association.
    378. Viktor Winschel, 2005. "Solving, Estimating and Selecting Nonlinear Dynamic Economic Models without the Curse of Dimensionality," GE, Growth, Math methods 0507014, University Library of Munich, Germany.
    379. Filippo Ferroni & Stefano Grassi & Miguel A. Leon-Ledesma, 2015. "Fundamental shock selection in DSGE models," Studies in Economics 1508, School of Economics, University of Kent.
    380. Xiaoshan Chen & Eric M. Leeper & Campbell B. Leith, 2020. "Strategic Interactions in U.S. Monetary and Fiscal Policies," NBER Working Papers 27540, National Bureau of Economic Research, Inc.
    381. Hoogerheide, L.F. & Kaashoek, J.F. & van Dijk, H.K., 2004. "Neural network based approximations to posterior densities: a class of flexible sampling methods with applications to reduced rank models," Econometric Institute Research Papers EI 2004-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    382. Elton Beqiraj & Giovanni Di Bartolomeo & Marco Di Pietro & Carolina Serpieri, 2017. "Resilience, crisis contagion, and vulnerability in Central Europe and the Baltics," JRC Research Reports JRC109632, Joint Research Centre.
    383. Saijo, Hikaru, 2013. "Estimating DSGE models using seasonally adjusted and unadjusted data," Journal of Econometrics, Elsevier, vol. 173(1), pages 22-35.
    384. Zhang, Ren & Martínez-García, Enrique & Wynne, Mark A. & Grossman, Valerie, 2021. "Ties that bind: Estimating the natural rate of interest for small open economies," Journal of International Money and Finance, Elsevier, vol. 113(C).
    385. Han Shang, 2014. "Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density," Computational Statistics, Springer, vol. 29(3), pages 829-848, June.
    386. Yoosoon Chang & Fei Tan & Xin Wei, 2018. "State Space Models with Endogenous Regime Switching," CAEPR Working Papers 2018-012, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    387. Alban Moura & Olivier Pierrard, 2022. "How well do DSGE models with real estate and collateral constraints fit the data?," BCL working papers 168, Central Bank of Luxembourg.
    388. Böhl, Gregor, 2022. "Ensemble MCMC sampling for robust Bayesian inference," IMFS Working Paper Series 177, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    389. Chew Lian Chua & Robert Dixon & G. C. Lim, 2007. "What Drives Worker Flows?," Melbourne Institute Working Paper Series wp2007n34, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    390. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676, July.
    391. Daniel Fehrle, 2018. "Housing and the Business Cycle Revisited," Working Papers 178, Bavarian Graduate Program in Economics (BGPE).
    392. Gael M. Martin & David T. Frazier & Christian P. Robert, 2020. "Computing Bayes: Bayesian Computation from 1763 to the 21st Century," Monash Econometrics and Business Statistics Working Papers 14/20, Monash University, Department of Econometrics and Business Statistics.
    393. HOOGERHEIDE, Lennart F. & VAN DIJK, Herman K. & VAN OEST, Rutger D., 2007. "Simulation based Bayesian econometric inference: principles and some recent computational advances," LIDAM Discussion Papers CORE 2007015, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    394. Brownstone, David, 2001. "Discrete Choice Modeling for Transportation," University of California Transportation Center, Working Papers qt29v7d1pk, University of California Transportation Center.
    395. Chotikapanich, D. & Griffiths, W.E. & Rao, D.S.P., 2001. "Averaging Income Distributions," Department of Economics - Working Papers Series 798, The University of Melbourne.
    396. Shang, Han Lin, 2013. "Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 185-198.
    397. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2020. "Uncertain Identification," CeMMAP working papers CWP33/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    398. Marco Di Pietro & Enrico Saltari, 2018. "Economic Fluctuations in the U.S. and Euro Area: Quantifying the Contribution of Technical Change," Southern Economic Journal, John Wiley & Sons, vol. 85(1), pages 203-216, July.
    399. Hall, Jamie, 2012. "Consumption dynamics in general equilibrium," MPRA Paper 43933, University Library of Munich, Germany.
    400. Katayama, Munechika & Kim, Kwang Hwan, 2013. "The delayed effects of monetary shocks in a two-sector New Keynesian model," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 243-259.
    401. Hasumi, Ryo & Iibsoshi, Hirokuni & Nakamura, Daisuke, 2018. "Trends, Cycles and Lost Decades: Decomposition from a DSGE Model with Endogenous Growth," MPRA Paper 85521, University Library of Munich, Germany.
    402. David Ardia & Lennart Hoogerheide & Herman K. van Dijk, 2009. "To Bridge, to Warp or to Wrap? A Comparative Study of Monte Carlo Methods for Efficient Evaluation of Marginal Likelihoods," Tinbergen Institute Discussion Papers 09-017/4, Tinbergen Institute.
    403. Tsionas, Efthymios G. & Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2016. "Bayesian GVAR with k-endogenous dominants & input–output weights: Financial and trade channels in crisis transmission for BRICs," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 1-26.
    404. Villani, Mattias & Kohn, Robert & Nott, David J., 2012. "Generalized smooth finite mixtures," Journal of Econometrics, Elsevier, vol. 171(2), pages 121-133.
    405. Ana Maria Santacreu, 2005. "Reaction functions in a small open economy: What role for non-traded inflation?," Reserve Bank of New Zealand Discussion Paper Series DP2005/04, Reserve Bank of New Zealand.
    406. Michele Lenza & Giorgio E. Primiceri, 2022. "How to estimate a vector autoregression after March 2020," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 688-699, June.
    407. King Yoong Lim & Shuonan Zhang, 2020. "Commodity Shocks and Optimal Fiscal Management of Resource Revenue in an Economy with State-owned Enterprises," NBS Discussion Papers in Economics 2020/02, Economics, Nottingham Business School, Nottingham Trent University.
    408. Stephen Millard & Eran Yashiv & Renato Faccini, 2012. "The New Keynesian Phillips Curve: the Role of Hiring and Investment Costs," 2012 Meeting Papers 556, Society for Economic Dynamics.
    409. Matthieu Droumaguet & Anders Warne & Tomasz Wozniak, 2015. "Granger Causality and Regime Inference in Bayesian Markov-Switching VARs," Department of Economics - Working Papers Series 1191, The University of Melbourne.
    410. Milan Bouda, 2014. "The New Keynesian Dsge Model and Alternative Monetary Policy Rules in the Czech Republic," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2014(1), pages 41-55.
    411. Gardebroek, Cornelis & Jongeneel, Roelof A., 2004. "The Growth In Organic Agriculture: Temporary Shift Or Structural Change?," 2004 Annual meeting, August 1-4, Denver, CO 20074, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    412. Sanha Noh, 2020. "Posterior Inference on Parameters in a Nonlinear DSGE Model via Gaussian-Based Filters," Computational Economics, Springer;Society for Computational Economics, vol. 56(4), pages 795-841, December.
    413. Jian Ni & Kannan Srinivasan, 2015. "Matching in the Sourcing Market: A Structural Analysis of the Upstream Channel," Marketing Science, INFORMS, vol. 34(5), pages 722-738, September.
    414. Eran Yashiv & Renato Faccini, 2014. "Inflation Dynamics and Marginal Costs: the Crucial Role of Hiring and Investment Frictions," 2014 Meeting Papers 178, Society for Economic Dynamics.
    415. Paap, R. & van Nierop, J.E.M. & van Heerde, H.J. & Wedel, M. & Franses, Ph.H.B.F. & Alsem, K.J., 2000. "Consideration sets, intentions and the inclusion of "Don't know" in a two-stage model for voter choice," Econometric Institute Research Papers EI 2000-33/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    416. Ni, Shawn & Sun, Dongchu, 2003. "Noninformative priors and frequentist risks of bayesian estimators of vector-autoregressive models," Journal of Econometrics, Elsevier, vol. 115(1), pages 159-197, July.
    417. Catherine S. Forbes & Gael M. Martin & Jill Wright, 2007. "Inference for a Class of Stochastic Volatility Models Using Option and Spot Prices: Application of a Bivariate Kalman Filter," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 387-418.
    418. Liu, Ding & Sun, Weihong & Chang, Long, 2021. "Monetary–fiscal policy regime and macroeconomic dynamics in China," Economic Modelling, Elsevier, vol. 95(C), pages 121-135.
    419. Timo Baas & Marjan Aikimbaeva, 2016. "Macroeconomic Stability and the Single European Labor Market," EcoMod2016 9555, EcoMod.
    420. Michaelis, Henrike & Watzka, Sebastian, 2014. "Are there Differences in the Effectiveness of Quantitative Easing in Japan over Time?," Discussion Papers in Economics 21087, University of Munich, Department of Economics.
    421. Drago Bergholt, 2014. "Foreign shocks in an estimated multi-sector model," Working Papers No 4/2014, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    422. Rangan Gupta & Rudi Steinbach, 2010. "Forecasting Key Macroeconomic Variables of the South African Economy: A Small Open Economy New Keynesian DSGE-VAR Model," Working Papers 201019, University of Pretoria, Department of Economics.
    423. Roland Straub & Günter Coenen, 2005. "Non-Ricardian Households and Fiscal Policy in an Estimated DSGE Model of the Euro Area," Computing in Economics and Finance 2005 102, Society for Computational Economics.
    424. Chua, C.L. & Griffiths, W.E. & O'Donnell, C.J., 2001. "Bayesian Model Averaging in Consumer Demand Systems with Inequality Constraints," Department of Economics - Working Papers Series 806, The University of Melbourne.
    425. Paul Levine & Joseph Pearlman & George Perendia, 2007. "Estimating DSGE Models under Partial Information," School of Economics Discussion Papers 1607, School of Economics, University of Surrey.
    426. Eric M. Leeper & Tao Zha, 2002. "Empirical analysis of policy interventions," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
    427. Marco Del Negro & Frank Schorfheide, 2002. "Priors from general equilibrium models for VARs," FRB Atlanta Working Paper 2002-14, Federal Reserve Bank of Atlanta.
    428. Felipe Morandé L. & Mauricio Tejada G., 2009. "Persistent Supply Shocks: A Pain in the Neck for Central Banks?," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 12(3), pages 25-58, December.
    429. Zams, Bastian Muzbar, 2021. "Frictions and empirical fit in a DSGE model for Indonesia," Economic Modelling, Elsevier, vol. 99(C).
    430. Richard Paap & Philip Hans Franses, 2000. "A dynamic multinomial probit model for brand choice with different long-run and short-run effects of marketing-mix variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 717-744.
    431. Takashi Kano, 2021. "Exchange Rates and Fundamentals: A General Equilibrium Exploration," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(1), pages 95-117, February.
    432. Ratto M. & Roeger W. & in’t Veld J. & Girardi R., 2005. "An estimated new Keynesian dynamic stochastic general equilibrium model of the Euro area," Macroeconomics 0503002, University Library of Munich, Germany.
    433. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
    434. Chew Lian Chua & G. C. Lim & Penelope Smith, 2008. "A Bayesian Simulation Approach to Inference on a Multi-State Latent Factor Intensity Model," Melbourne Institute Working Paper Series wp2008n16, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    435. Hoogerheide, L.F. & Kaashoek, J.F. & van Dijk, H.K., 2002. "Functional approximations to posterior densities: a neural network approach to efficient sampling," Econometric Institute Research Papers EI 2002-48, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    436. Barrail, Zulma, 2020. "Business cycle implications of rising household credit market participation in emerging countries," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    437. KANO, Takashi, 2023. "Posterior Inferences on Incomplete Structural Models : The Minimal Econometric Interpretation," Discussion paper series HIAS-E-128, Hitotsubashi Institute for Advanced Study, Hitotsubashi University.
    438. Alexander Rathke & Samad Sarferaz, 2014. "Malthus and the Industrial Revolution," KOF Working papers 14-351, KOF Swiss Economic Institute, ETH Zurich.
    439. Ma, Yong, 2016. "Nonlinear monetary policy and macroeconomic stabilization in emerging market economies: Evidence from China," Economic Systems, Elsevier, vol. 40(3), pages 461-480.
    440. Kegiang Hou & Alok Johri, 2013. "Intangible Capital and the Excess Volatility of Aggregate Profits," Department of Economics Working Papers 2013-04, McMaster University.
    441. Satoshi Tezuka & Yoichi Matsubayashi, 2018. "Credit Spread, Financial Market and Real Activities under Financial Instability: Empirical Evidence with MS-SBVAR," Discussion Papers 1812, Graduate School of Economics, Kobe University.
    442. Ulrich Gunter, 2019. "Estimating and forecasting with a two-country DSGE model of the Euro area and the USA: the merits of diverging interest-rate rules," Empirical Economics, Springer, vol. 56(4), pages 1283-1323, April.
    443. Takashi Kano, 2008. "Habit Formation and the Present-Value Model of the Current Account: Yet Another Suspect ( Revised version of CARF-F-101(2007); Revised version subsequently published in "Journal of International ," CARF F-Series CARF-F-124, Center for Advanced Research in Finance, Faculty of Economics, The University of Tokyo.
    444. Akihiko Ikeda, 2020. "Learning-by-doing and business cycles in emerging economies," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(3), pages 611-631, August.
    445. Kim, Kwang Hwan & Katayama, Munechika, 2013. "Non-separability and sectoral comovement in a sticky price model," Journal of Economic Dynamics and Control, Elsevier, vol. 37(9), pages 1715-1735.
    446. Frank Schorfheide & Francis X. Diebold & Marco Del Negro, 2008. "Priors from Frequency-Domain Dummy Observations," 2008 Meeting Papers 310, Society for Economic Dynamics.
    447. Gregor Bäurle & Tobias Menz, 2008. "Monetary Policy in a Small Open Economy Model: A DSGE-VAR Approach for Switzerland," Working Papers 08.03, Swiss National Bank, Study Center Gerzensee.
    448. Chauvet, Marcelle & Potter, Simon, 2010. "Business cycle monitoring with structural changes," International Journal of Forecasting, Elsevier, vol. 26(4), pages 777-793, October.
    449. Mr. Nizar Jouini & Mr. Nooman Rebei, 2013. "The Welfare Implications of Services Liberalization in a Developing Country: Evidence from Tunisia," IMF Working Papers 2013/110, International Monetary Fund.
    450. Yi-Hua Wu & Chih-Chin Ho & Eric S. Lin, 2017. "Measuring the Impact of Military Spending: How Far Does a DSGE Model Deviate from Reality?," Defence and Peace Economics, Taylor & Francis Journals, vol. 28(5), pages 585-608, September.
    451. Markus Kirchner & Malte Rieth, 2010. "Sovereign Risk and Macroeconomic Fluctuations in an Emerging Market Economy," Tinbergen Institute Discussion Papers 10-100/2, Tinbergen Institute.
    452. Emmanuel C. Mamatzakis & Steven Ongena & Mike G. Tsionas, 2023. "The response of household debt to COVID-19 using a neural networks VAR in OECD," Empirical Economics, Springer, vol. 65(1), pages 65-91, July.
    453. Y. K. Tse & Xibin Zhang & Jun Yu, 2004. "Estimation of hyperbolic diffusion using the Markov chain Monte Carlo method," Quantitative Finance, Taylor & Francis Journals, vol. 4(2), pages 158-169.
    454. Philip Liu, 2006. "A Small New Keynesian Model of the New Zealand economy," Reserve Bank of New Zealand Discussion Paper Series DP2006/03, Reserve Bank of New Zealand.
    455. Yasuo Hirose & Saori Naganuma, 2010. "Structural Estimation Of The Output Gap: A Bayesian Dsge Approach," Economic Inquiry, Western Economic Association International, vol. 48(4), pages 864-879, October.
    456. Johannes Sauer, 2010. "Deregulation and dairy production systems: a Bayesian distance function approach," Journal of Productivity Analysis, Springer, vol. 34(3), pages 213-237, December.
    457. Stéphane Lhuissier, 2015. "The Regime-switching volatility of Euro Area Business Cycles," Working Papers 2015-22, CEPII research center.
    458. Fernando de Menezes Linardi, 2016. "Assessing the Fit of a Small Open-Economy DSGE Model for the Brazilian Economy," Working Papers Series 424, Central Bank of Brazil, Research Department.
    459. Virginia Queijo, 2005. "Bayesian Estimation of a DSGE Model with Financial Frictions for the U.S. and the Euro Area," Computing in Economics and Finance 2005 306, Society for Computational Economics.
    460. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2013. "Predictive likelihood comparisons with DSGE and DSGE-VAR models," Working Paper Series 1536, European Central Bank.
    461. Hirose, Yasuo, 2007. "Sunspot fluctuations ulnder zero nominal interest rates," Economics Letters, Elsevier, vol. 97(1), pages 39-45, October.
    462. Iiboshi, Hirokuni, 2016. "A multiple DSGE-VAR approach: Priors from a combination of DSGE models and evidence from Japan," Japan and the World Economy, Elsevier, vol. 40(C), pages 1-8.
    463. Yuko Onishi & Yasuhiro Omori, 2014. "Bayesian Estimation of Entry Games with Multiple Players and Multiple Equilibria," CIRJE F-Series CIRJE-F-943, CIRJE, Faculty of Economics, University of Tokyo.
    464. Daniel F. Waggoner & Hongwei Wu & Tao Zha, 2014. "The Dynamic Striated Metropolis-Hastings Sampler for High-Dimensional Models," FRB Atlanta Working Paper 2014-21, Federal Reserve Bank of Atlanta.
    465. Lewis, Vivien & Villa, Stefania & Wolters, Maik H., 2019. "Labor productivity, effort and the euro area business cycle," Discussion Papers 44/2019, Deutsche Bundesbank.
    466. Klaeffling, Matt, 2003. "Macroeconomic modelling of monetary policy," Working Paper Series 257, European Central Bank.
    467. Riccardo Cristadoro & Andrea Gerali & Stefano Neri & Massimiliano Pisani, 2006. "Nominal Rigidities in an Estimated Two Country," Computing in Economics and Finance 2006 162, Society for Computational Economics.
    468. Lennart F. Hoogerheide & Johan F. Kaashoek, 2004. "Functional Approximations to Likelihoods/Posterior Densities: A Neural Network Approach to Efficient Sampling," Computing in Economics and Finance 2004 74, Society for Computational Economics.
    469. Beqiraj, Elton & Di Bartolomeo, Giovanni & Di Pietro, Marco & Serpieri, Carolina, 2018. "Comparing Central Europe and the Baltic macro-economies: A Bayesian approach," EconStor Preprints 175242, ZBW - Leibniz Information Centre for Economics.
    470. Mike G. Tsionas & Dionisis Philippas & Constantin Zopounidis, 2023. "Exploring Uncertainty, Sensitivity and Robust Solutions in Mathematical Programming Through Bayesian Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 205-227, June.
    471. Jiawei Chen, 2006. "Two-Sided Matching and Spread Determinants in the Loan Market," Working Papers 060702, University of California-Irvine, Department of Economics.
    472. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2021. "Bridging the Divide? Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP082021, School of Economics, University of Queensland, Australia.
    473. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.

  15. Geweke, John & Houser, Dan & Keane, Michael, 1999. "Simulation Based Inference for Dynamic Multinomial Choice Models," MPRA Paper 54279, University Library of Munich, Germany.

    Cited by:

    1. Pedro Carneiro & Karsten T. Hansen & James J. Heckman, 2003. "Estimating Distributions of Treatment Effects with an Application to the Returns to Schooling and Measurement of the Effects of Uncertainty on College," NBER Working Papers 9546, National Bureau of Economic Research, Inc.
    2. Carneiro, Pedro & Hansen, Karsten & Heckman, James, 2003. "Estimating distributions of treatment effects with an application to the returns to schooling and measurement of the effects of uncertainty on college choice," Working Paper Series 2003:9, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    3. Andrew Ching & Susumu Imai & Neelam Jain, 2006. "Bayesian Estimation Of Dynamic Discrete Choice Models," Working Paper 1118, Economics Department, Queen's University.
    4. Daniel Houser & Michael Keane & Kevin McCabe, 2002. "Behavior in a dynamic decision problem: An analysis of experimental evidence using a bayesian type classification algorithm," Experimental 0211001, University Library of Munich, Germany.
    5. Houser, Daniel & Winter, Joachim, 2000. "Time preference and decision rules in a price search experiment," Sonderforschungsbereich 504 Publications 01-34, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    6. Houser, Daniel, 2003. "Bayesian analysis of a dynamic stochastic model of labor supply and saving," Journal of Econometrics, Elsevier, vol. 113(2), pages 289-335, April.
    7. Daniel Houser & Kevin McCabe & Michael Keane & Antoine Bechara, 2003. "Heuristics Used By Humans With Prefrontal Cortex Damage: Toward An Empirical Model Of Phineas Gage," Experimental 0308002, University Library of Munich, Germany.
    8. Houser, Daniel & Bechara, Antoine & Keane, Michael & McCabe, Kevin & Smith, Vernon, 2005. "Identifying individual differences: An algorithm with application to Phineas Gage," Games and Economic Behavior, Elsevier, vol. 52(2), pages 373-385, August.

  16. John Geweke, 1998. "Using simulation methods for Bayesian econometric models: inference, development, and communication," Staff Report 249, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Farmer, Roger E.A. & Nicolò, Giovanni, 2018. "Keynesian economics without the Phillips curve," Journal of Economic Dynamics and Control, Elsevier, vol. 89(C), pages 137-150.
    2. Guerron-Quintana, Pablo A., 2011. "The implications of inflation in an estimated new Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 35(6), pages 947-962, June.
    3. Atsushi Inoue & Mototsugu Shintani, 2018. "Quasi‐Bayesian model selection," Quantitative Economics, Econometric Society, vol. 9(3), pages 1265-1297, November.
    4. Kamal, Mona, 2011. "Bayesian Estimation of Dynamic Stochastic General Equilibrium Model Using UK Data," MPRA Paper 28988, University Library of Munich, Germany.
    5. Haider, Adnan & Khan, Safdar Ullah, 2008. "A Small Open Economy DSGE Model for Pakistan," MPRA Paper 12977, University Library of Munich, Germany, revised 17 Jan 2009.
    6. Denny Lie, 2019. "Observed Inflation‐target Adjustments in an Estimated DSGE Model for Indonesia: Do They Matter for Aggregate Fluctuations?," Economic Papers, The Economic Society of Australia, vol. 38(4), pages 261-285, December.
    7. Christopher J. Gust & Edward P. Herbst & J. David López-Salido, 2018. "Forward Guidance with Bayesian Learning and Estimation," Finance and Economics Discussion Series 2018-072, Board of Governors of the Federal Reserve System (U.S.).
    8. Takashi Kano & James M. Nason, 2014. "Business Cycle Implications of Internal Consumption Habit for New Keynesian Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 46(2-3), pages 519-544, March.
    9. Takashi Kano, 2007. "Habit Formation and the Present-Value Model of the Current Account: Yet Another Suspect," CIRJE F-Series CIRJE-F-505, CIRJE, Faculty of Economics, University of Tokyo.
    10. Kano, Takashi & Morita, Hiroshi, 2015. "An equilibrium foundation of the Soros chart," Journal of the Japanese and International Economies, Elsevier, vol. 37(C), pages 21-42.
    11. Akihisa Shibata & Mototsugu Shintani & Takayuki Tsuruga, 2018. "Current Account Dynamics under Information Rigidity and Imperfect Capital Mobility," Globalization Institute Working Papers 335, Federal Reserve Bank of Dallas.
    12. Jesús Fernández-Villaverde & Pablo Guerrón-Quintana & Juan F. Rubio-Ramírez, 2010. "Fortune or Virtue: Time-Variant Volatilities Versus Parameter Drifting in U.S. Data," NBER Working Papers 15928, National Bureau of Economic Research, Inc.
    13. Weder, Mark & Doko Tchatokay, Firmin & Groshenny, Nicolas & Haque, Qazi, 2016. "Monetary Policy and Indeterminacy after the 2001 Slump," VfS Annual Conference 2016 (Augsburg): Demographic Change 145557, Verein für Socialpolitik / German Economic Association.
    14. Selma Toker, 2020. "Investigating the two parameter analysis of Lipovetsky for simultaneous systems," Statistical Papers, Springer, vol. 61(5), pages 2059-2089, October.
    15. Tan, Fei, 2018. "A Frequency-Domain Approach to Dynamic Macroeconomic Models," MPRA Paper 90487, University Library of Munich, Germany.
    16. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2008. "The new area-wide model of the euro area: a micro-founded open-economy model for forecasting and policy analysis," Working Paper Series 944, European Central Bank.
    17. Ohtsuka, Yoshihiro & Oga, Takashi & Kakamu, Kazuhiko, 2010. "Forecasting electricity demand in Japan: A Bayesian spatial autoregressive ARMA approach," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2721-2735, November.
    18. Saroj Bhattarai & Jae Won Lee & Woong Yong Park, 2012. "Policy regimes, policy shifts, and U.S. business cycles," Globalization Institute Working Papers 109, Federal Reserve Bank of Dallas.
    19. Stelios D. Bekiros & Alessia Paccagnini, 2014. "Estimating point and density forecasts for the US economy with a factor-augmented vector autoregressive DSGE model," Open Access publications 10197/7588, School of Economics, University College Dublin.
    20. Richard Kleijn & Herman K. van Dijk, 2006. "Bayes model averaging of cyclical decompositions in economic time series," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(2), pages 191-212, March.
    21. Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Villani, Mattias, 2005. "Bayesian Estimation of an Open Economy DSGE Model with Incomplete Pass-Through," Working Paper Series 179, Sveriges Riksbank (Central Bank of Sweden).
    22. Mumtaz, Haroon & Zanetti, Francesco, 2015. "Factor adjustment costs: A structural investigation," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 341-355.
    23. Emmanuel C. Mamatzakis & Mike G. Tsionas, 2020. "Revealing forecaster's preferences: A Bayesian multivariate loss function approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(3), pages 412-437, April.
    24. Robert Kollmann, 2013. "Global Banks, Financial Shocks, and International Business Cycles: Evidence from an Estimated Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(s2), pages 159-195, December.
    25. Frank Schorfheide, 2003. "Learning and monetary policy shifts," FRB Atlanta Working Paper 2003-23, Federal Reserve Bank of Atlanta.
    26. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.
    27. Babecký, Jan & Franta, Michal & Ryšánek, Jakub, 2018. "Fiscal policy within the DSGE-VAR framework," Economic Modelling, Elsevier, vol. 75(C), pages 23-37.
    28. Dewachter, Hans & Iania, Leonardo, 2012. "An Extended Macro-Finance Model with Financial Factors," LIDAM Reprints LFIN 2012001, Université catholique de Louvain, Louvain Finance (LFIN).
    29. Markku Lanne & Jani Luoto, 2017. "A New Time‐Varying Parameter Autoregressive Model for U.S. Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 969-995, August.
    30. Kenneth W Clements & Yihui Lan & Xueyan Zhao, 2006. "The Demand for Vice: Inter-Commodity Interactions with Uncertainty," Economics Discussion / Working Papers 06-30, The University of Western Australia, Department of Economics.
    31. Welz, Peter, 2006. "Assessing predetermined expectations in the standard sticky-price model: a Bayesian approach," Working Paper Series 621, European Central Bank.
    32. Tyler Atkinson & Alexander W. Richter & Nathaniel A. Throckmorton, 2018. "The Zero Lower Bound and Estimation Accuracy," Working Papers 1804, Federal Reserve Bank of Dallas.
    33. Marco Del Negro & Frank Schorfheide, 2008. "Forming Priors for DSGE Models (and How it Affects the Assessment of Nominal Rigidities)," NBER Working Papers 13741, National Bureau of Economic Research, Inc.
    34. Minsu Chang & Xiaohong Chen & Frank Schorfheide, 2021. "Heterogeneity and Aggregate Fluctuations," Cowles Foundation Discussion Papers 2289, Cowles Foundation for Research in Economics, Yale University.
    35. Jouini, Nizar & Rebei, Nooman, 2012. "The Welfare Implications of Services Liberalization in a Developing Country," Conference papers 332271, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    36. Liu, Chun, 2010. "Marginal likelihood calculation for gelfand-dey and Chib Method," MPRA Paper 34928, University Library of Munich, Germany.
    37. Thomas J. Sargent & Noah Williams & Tao Zha, 2004. "Shocks and government beliefs: the rise and fall of American inflation," FRB Atlanta Working Paper 2004-22, Federal Reserve Bank of Atlanta.
    38. Adolfson, Malin & Laséen, Stefan & Lindé, Jesper & Villani, Mattias, 2007. "Evaluating An Estimated New Keynesian Small Open Economy Model," Working Paper Series 203, Sveriges Riksbank (Central Bank of Sweden).
    39. Bailliu, Jeannine & Dib, Ali & Kano, Takashi & Schembri, Lawrence, 2014. "Multilateral adjustment, regime switching and real exchange rate dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 27(C), pages 68-87.
    40. Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2001. "Comparing dynamic equilibrium economies to data," FRB Atlanta Working Paper 2001-23, Federal Reserve Bank of Atlanta.
    41. Alfred Duncan & Charles Nolan, 2017. "Disputes, Debt and Equity," Studies in Economics 1716, School of Economics, University of Kent.
    42. Anna Kormilitsina & Sarah Zubairy, 2015. "Propagation Mechanisms for Government Spending Shocks: A Bayesian Comparison," EcoMod2015 8646, EcoMod.
    43. Lemos, S.V. & Salgado Junior, A.P. & Rebehy, P.C.P.W. & Carlucci, F.V. & Novi, J.C., 2021. "Framework for improving agro-industrial efficiency in renewable energy: Examining Brazilian bioenergy companies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    44. Barthélemy, Jean & Clerc, Laurent & Marx, Magali, 2011. "A two-pillar DSGE monetary policy model for the euro area," Economic Modelling, Elsevier, vol. 28(3), pages 1303-1316, May.
    45. Francesco Bianchi, 2009. "Regime Switches, Agents’ Beliefs, and Post-World War II U.S. Macroeconomic Dynamics," 2009 Meeting Papers 198, Society for Economic Dynamics.
    46. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
    47. Efrem Castelnuovo, 2009. "Estimating the Evolution of Money's Role in the U.S. Monetary Business Cycle," "Marco Fanno" Working Papers 0103, Dipartimento di Scienze Economiche "Marco Fanno".
    48. Giovanni Di Bartolomeo & Lorenza Rossi & Massimiliano Tancioni, 2006. "Monetary Policy under Rule-of-Thumb Consumers and External Habits: An International Empirical Comparison," Working Papers in Public Economics 97, University of Rome La Sapienza, Department of Economics and Law.
    49. Li, Bing & Liu, Qing, 2017. "On the choice of monetary policy rules for China: A Bayesian DSGE approach," China Economic Review, Elsevier, vol. 44(C), pages 166-185.
    50. Chan, Joshua & Eisenstat, Eric, 2012. "Marginal Likelihood Estimation with the Cross-Entropy Method," MPRA Paper 40051, University Library of Munich, Germany.
    51. Thorsten Drautzburg, 2016. "A narrative approach to a fiscal DSGE model," Working Papers 16-11, Federal Reserve Bank of Philadelphia.
    52. Rodrigo Caputo & Felipe Liendo, 2005. "Monetary Policy, Exchange Rate and Inflation Inertia in Chile: a Structural Approach," Working Papers Central Bank of Chile 352, Central Bank of Chile.
    53. Keqiang Hou & Alok Johri, 2018. "Intangible Capital, the Labor Wedge and the Volatility of Corporate Profits," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 29, pages 216-234, July.
    54. Timothy Kam & Kirdan Lees & Philip Liu, 2006. "Uncovering The Hit-List For Small Inflation Targeters: A Bayesian Structural Analysis," ANU Working Papers in Economics and Econometrics 2006-473, Australian National University, College of Business and Economics, School of Economics.
    55. Galvao, Ana Beatriz & Owyang, Michael, 2020. "Forecasting Low Frequency Macroeconomic Events with High Frequency Data," EMF Research Papers 38, Economic Modelling and Forecasting Group.
    56. Gupta, Rangan & Steinbach, Rudi, 2013. "A DSGE-VAR model for forecasting key South African macroeconomic variables," Economic Modelling, Elsevier, vol. 33(C), pages 19-33.
    57. Jesus Fernandez-Villaverde & Pablo Guerrón-Quintana & Juan F. Rubio-Ramírez, 2013. "Estimating Dynamic Equilibrium Models with Stochastic Volatility," PIER Working Paper Archive 13-036, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    58. Giovanni Di Bartolomeo & Lorenza Rossi & Massimiliano Tancioni, 2007. "Monetary Policy, Rule-of-Thumb Consumers and External Habits: An International Comparison," Working Papers 0727, University of Crete, Department of Economics.
    59. Martin Menner, 2009. "The role for search frictions for output and inflation dynamics: A Bayesian assessment," Working Papers. Serie AD 2009-06, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    60. William Ginn & Marc Pourroy, 2020. "Should a central bank react to food inflation? Evidence from an estimated model for Chile," Post-Print hal-03579680, HAL.
    61. Miazhynskaia, Tatiana & Fruhwirth-Schnatter, Sylvia & Dorffner, Georg, 2006. "Bayesian testing for non-linearity in volatility modeling," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 2029-2042, December.
    62. Michiel D. de Pooter & René Segers & Herman K. van Dijk, 2006. "On the Practice of Bayesian Inference in Basic Economic Time Series Models using Gibbs Sampling," Tinbergen Institute Discussion Papers 06-076/4, Tinbergen Institute.
    63. Agustín Arias, 2016. "Sentiment Shocks as Drivers of Business Cycles," Working Papers Central Bank of Chile 782, Central Bank of Chile.
    64. Carriero, Andrea & Kapetanios, George & Marcellino, Massimiliano, 2016. "Structural analysis with Multivariate Autoregressive Index models," Journal of Econometrics, Elsevier, vol. 192(2), pages 332-348.
    65. Alexander Meyer-Gohde, 2007. "Solving Linear Rational Expectations Models with Lagged Expectations Quickly and Easily," SFB 649 Discussion Papers SFB649DP2007-069, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    66. Gelfer, Sacha & Gibbs, Christopher G., 2023. "Measuring the effects of large-scale asset purchases: The role of international financial markets and the financial accelerator," Journal of International Money and Finance, Elsevier, vol. 131(C).
    67. Paola Mariell Brens Ortega, 2020. "An Econometric Analysis of a Calibrated Macroeconomic Model for the Dominican Republic: A Closer Look into Monetary Policy," Documentos de Trabajo 18253, The Latin American and Caribbean Economic Association (LACEA).
    68. Robert, Christian P., 2004. "Bayesian computational methods," Papers 2004,18, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
    69. Arratibel, Olga & Michaelis, Henrike, 2013. "The Impact of Monetary Policy and Exchange Rate Shocks in Poland: Evidence from a Time-Varying VAR," Discussion Papers in Economics 21088, University of Munich, Department of Economics.
    70. Jakob R. Munch & Daniel X., 2008. "Decomposing Firm-level Sales Variation," EPRU Working Paper Series 2009-05, Economic Policy Research Unit (EPRU), University of Copenhagen. Department of Economics, revised Jun 2009.
    71. Frank Schorfheide & Dongho Song, 2015. "Real-Time Forecasting With a Mixed-Frequency VAR," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 366-380, July.
    72. Florian Pelgrin & Stéphane Adjemian, 2008. "Un regard bayésien sur les modèles dynamiques de la macroéconomie," Économie et Prévision, Programme National Persée, vol. 183(2), pages 127-152.
    73. Shu-Chun S. Yang & Nora Traum, 2011. "When Does Government Debt Crowd Out Investment?," 2011 Meeting Papers 479, Society for Economic Dynamics.
    74. Nason, James M. & Rogers, John H., 2006. "The present-value model of the current account has been rejected: Round up the usual suspects," Journal of International Economics, Elsevier, vol. 68(1), pages 159-187, January.
    75. Zheng, Tingguo & Guo, Huiming, 2013. "Estimating a small open economy DSGE model with indeterminacy: Evidence from China," Economic Modelling, Elsevier, vol. 31(C), pages 642-652.
    76. Jarkko P. Jääskelä & Kristoffer P. Nimark, 2011. "A Medium-Scale New Keynesian Open Economy Model of Australia," Working Papers 588, Barcelona School of Economics.
    77. Stephen McKnight & Alexander Mihailov & Antonio Pompa Rangel, 2016. "What Do Latin American Inflation Targeters Care About? A Comparative Bayesian Estimation of Central Bank Preferences," Economics Discussion Papers em-dp2016-12, Department of Economics, University of Reading.
    78. Juan F. Rubio-Ramirez & Daniel Waggoner & Tao Zha, 2006. "Markov-Switching Structural Vector Autoregressions: Theory and Application," Computing in Economics and Finance 2006 69, Society for Computational Economics.
    79. Roger E. A. Farmer & Giovanni Nicolo, 2019. "Some International Evidence for Keynesian Economics Without the Phillips Curve," Finance and Economics Discussion Series 2019-032, Board of Governors of the Federal Reserve System (U.S.).
    80. Lanne, Markku & Luoma, Arto & Luoto, Jani, 2008. "A Naïve Sticky Information Model of Households’ Inflation Expectations," MPRA Paper 8663, University Library of Munich, Germany.
    81. Lakdawala, Aeimit & Wu, Shu, 2017. "Federal Reserve Credibility and the Term Structure of Interest Rates," MPRA Paper 78253, University Library of Munich, Germany.
    82. Bekiros, Stelios D. & Paccagnini, Alessia, 2015. "Macroprudential Policy And Forecasting Using Hybrid Dsge Models With Financial Frictions And State Space Markov-Switching Tvp-Vars," Macroeconomic Dynamics, Cambridge University Press, vol. 19(7), pages 1565-1592, October.
    83. Luc Bauwens & Charles S. Bos & Herman K. van Dijk, 1999. "Adaptive Polar Sampling with an Application to a Bayes Measure of Value-at-Risk," Tinbergen Institute Discussion Papers 99-082/4, Tinbergen Institute.
    84. Li, Bing & Pei, Pei & Tan, Fei, 2021. "Financial distress and fiscal inflation," Journal of Macroeconomics, Elsevier, vol. 70(C).
    85. Elton Beqiraj & Giovanni Di Bartolomeo & Marco Di Pietro & Carolina Serpieri, 2018. "Bounded-rationality and heterogeneous agents: Long or short forecasters?," JRC Research Reports JRC111392, Joint Research Centre.
    86. Gael M. Martin, 2000. "US deficit sustainability: a new approach based on multiple endogenous breaks," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 83-105.
    87. John Tsoukala & Hashmat Khan, 2010. "Investment Shocks and the Comovement Problem," Discussion Papers 10/09, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
    88. Cantore, C. & Ferroni, F. & León-Ledesma, M A., 2011. "Interpreting the Hours-Technology time-varying relationship," Working papers 351, Banque de France.
    89. Gholamreza Hajargasht & D.S. Prasada Rao, 2019. "Multilateral Index Number Systems for International Price Comparisons: Properties, Existence and Uniqueness," CEPA Working Papers Series WP032019, School of Economics, University of Queensland, Australia.
    90. Kano, Takashi & 加納, 隆, 2014. "Exchange Rates and Fundamentals: Closing a Two-country Model," Discussion Papers 2013-07, Graduate School of Economics, Hitotsubashi University.
    91. Meyer-Gohde, Alexander & Neuhoff, Daniel, 2018. "Generalized exogenous processes in DSGE: A Bayesian approach," IMFS Working Paper Series 125, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    92. Marto, Ricardo, 2013. "Assessing the Impacts of Non-Ricardian Households in an Estimated New Keynesian DSGE Model," MPRA Paper 55647, University Library of Munich, Germany.
    93. Katharina Hauck & Xiaohui Zhang, 2016. "Heterogeneity in the Effect of Common Shocks on Healthcare Expenditure Growth," Health Economics, John Wiley & Sons, Ltd., vol. 25(9), pages 1090-1103, September.
    94. Eijffinger, S.C.W. & Grajales Olarte, A. & Uras, R.B., 2015. "Heterogeneity in Wage Setting Behavior in a New-Keynesian Model," Discussion Paper 2015-024, Tilburg University, Center for Economic Research.
    95. Pierre Guérin & Danilo Leiva-Leon, 2017. "Monetary policy, stock market and sectoral comovement," Working Papers 1731, Banco de España.
    96. Vasco Curdia & Daria Finocchiaro, 2012. "Monetary Regime Change and Business Cycles," Working Paper Series 2013-02, Federal Reserve Bank of San Francisco.
    97. Fabio Canova, 2009. "What Explains The Great Moderation in the U.S.? A Structural Analysis," Journal of the European Economic Association, MIT Press, vol. 7(4), pages 697-721, June.
    98. Lahiri, Kajal & Gao, Jian, 2002. "Bayesian analysis of nested logit model by Markov chain Monte Carlo," Journal of Econometrics, Elsevier, vol. 111(1), pages 103-133, November.
    99. Stefano Neri & Tiziano Ropele, 2012. "Imperfect Information, Real‐Time Data and Monetary Policy in the Euro Area," Economic Journal, Royal Economic Society, vol. 122(561), pages 651-674, June.
    100. Rots, Eyno, 2017. "Imperfect information and the house price in a general-equilibrium model," Journal of Economic Dynamics and Control, Elsevier, vol. 83(C), pages 215-231.
    101. Wieland, Volker & Taylor, John B., 2010. "Surprising comparative properties of monetary models: Results from a new model database," Working Paper Series 1261, European Central Bank.
    102. Villa, Stefania, 2013. "Financial frictions in the euro area: a Bayesian assessment," Working Paper Series 1521, European Central Bank.
    103. Hashmat Khan & John Tsoukalas, 2012. "The Quantitative Importance of News Shocks in Estimated DSGE Models," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(8), pages 1535-1561, December.
    104. Nishino, Haruhisa & Kakamu, Kazuhiko, 2015. "A random walk stochastic volatility model for income inequality," Japan and the World Economy, Elsevier, vol. 36(C), pages 21-28.
    105. Anton Cheremukhin, 2010. "Labor Matching Model: Putting the Pieces Together," 2010 Meeting Papers 260, Society for Economic Dynamics.
    106. Dorfman, Jeffrey H. & Atkinson, Scott E., 2002. "Multiple Comparisons With The Best: Bayesian Precision Measures Of Efficiency Rankings," 2002 Annual meeting, July 28-31, Long Beach, CA 19800, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    107. Rituparna Sen & Anandamayee Majumdar & Shubhangi Sikaria, 2022. "Bayesian Testing of Granger Causality in Functional Time Series," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(1), pages 191-210, September.
    108. Juan F. Rubio-Ramirez & Daniel F. Waggoner & Tao Zha, 2008. "Structural vector autoregressions: theory of identification and algorithms for inference," FRB Atlanta Working Paper 2008-18, Federal Reserve Bank of Atlanta.
    109. Marcelle Chauvet & Simon Potter, 2005. "Forecasting recessions using the yield curve," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 77-103.
    110. Chang, Yoosoon & Maih, Junior & Tan, Fei, 2021. "Origins of monetary policy shifts: A New approach to regime switching in DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    111. Castelnuovo, Efrem & Nisticò, Salvatore, 2010. "Stock market conditions and monetary policy in an DSGE model for the US," Bank of Finland Research Discussion Papers 11/2010, Bank of Finland.
    112. Marcelle, Chauvet & Simon, Potter, 2007. "Monitoring Business Cycles with Structural Breaks," MPRA Paper 15097, University Library of Munich, Germany, revised 31 Apr 2009.
    113. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2007. "Estimating Macroeconomic Models: A Likelihood Approach," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(4), pages 1059-1087.
    114. Breitenlechner, Max & Georgiadis, Georgios & Schumann, Ben, 2022. "What goes around comes around: How large are spillbacks from US monetary policy?," Journal of Monetary Economics, Elsevier, vol. 131(C), pages 45-60.
    115. Hao Jia & Stergios Skaperdas, 2011. "Technologies of Conflict," Working Papers 101111, University of California-Irvine, Department of Economics.
    116. Kamber, Gunes & McDonald, Chris & Sander, Nick & Theodoridis, Konstantinos, 2016. "Modelling the business cycle of a small open economy: The Reserve Bank of New Zealand's DSGE model," Economic Modelling, Elsevier, vol. 59(C), pages 546-569.
    117. Kajal Lahiri & Fushang Liu, 2006. "Modelling multi‐period inflation uncertainty using a panel of density forecasts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1199-1219, December.
    118. van Dijk, H.K., 2002. "On Bayesian structural inference in a simultaneous equation model," Econometric Institute Research Papers EI 2002-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    119. Paul Levine & Peter McAdam & Joseph Pearlman, 2007. "Inflation-Forecast-Based Rules and Indeterminacy: A Puzzle and a Resolution," International Journal of Central Banking, International Journal of Central Banking, vol. 3(4), pages 77-110, December.
    120. Mumtaz, Haroon & Zanetti, Francesco, 2016. "The Effect Of Labor And Financial Frictions On Aggregate Fluctuations," Macroeconomic Dynamics, Cambridge University Press, vol. 20(1), pages 313-341, January.
    121. Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2004. "Estimating dynamic equilibrium economies: linear versus nonlinear likelihood," FRB Atlanta Working Paper 2004-3, Federal Reserve Bank of Atlanta.
    122. Baranowski, Paweł & Kuchta, Zbigniew, 2015. "Changes in nominal rigidities in Poland – a regime switching DSGE perspective," MPRA Paper 70573, University Library of Munich, Germany, revised Mar 2016.
    123. HOOGERHEIDE, Lennart F. & KAASHOEK, Johan F. & van DIJK, Herman K., 2007. "On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: an application of flexible sampling methods using neural networks," LIDAM Reprints CORE 1922, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    124. Pablo A. Acosta & Emmanuel K. K. Lartey & Federico S. Mandelman, 2007. "Remittances and the Dutch disease," FRB Atlanta Working Paper 2007-08, Federal Reserve Bank of Atlanta.
    125. Villani, Mattias, 2005. "Bayesian Inference of General Linear Restrictions on the Cointegration Space," Working Paper Series 189, Sveriges Riksbank (Central Bank of Sweden).
    126. Waggoner, Daniel F. & Wu, Hongwei & Zha, Tao, 2016. "Striated Metropolis–Hastings sampler for high-dimensional models," Journal of Econometrics, Elsevier, vol. 192(2), pages 406-420.
    127. Ms. Susan S. Yang & Ms. Nora Traum, 2010. "Monetary and Fiscal Policy Interactions in the Post-war U.S," IMF Working Papers 2010/243, International Monetary Fund.
    128. Drissi, Ramzi & Ghassan, Hassan B., 2018. "Sticky Price versus Sticky Information Price: Empirical Evidence in the New Keynesian Setting," MPRA Paper 93075, University Library of Munich, Germany, revised Apr 2019.
    129. Yasufumi Gemma & Takushi Kurozumi & Mototsugu Shintani, 2017. "Trend Inflation and Evolving Inflation Dynamics: A Bayesian GMM Analysis of the Generalized New Keynesian Phillips Curve," IMES Discussion Paper Series 17-E-10, Institute for Monetary and Economic Studies, Bank of Japan.
    130. Belongia, Michael T. & Ireland, Peter N., 2022. "A reconsideration of money growth rules," Journal of Economic Dynamics and Control, Elsevier, vol. 135(C).
    131. Böhl, Gregor & Strobel, Felix, 2020. "US business cycle dynamics at the zero lower bound," Discussion Papers 65/2020, Deutsche Bundesbank.
    132. Yasuo Hirose, 2008. "Equilibrium Indeterminacy and Asset Price Fluctuation in Japan: A Bayesian Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(5), pages 967-999, August.
    133. Afrin, Sadia, 2017. "The role of financial shocks in business cycles with a liability side financial friction," Economic Modelling, Elsevier, vol. 64(C), pages 249-269.
    134. Leonardo Melosi, 2014. "Signaling Effects of Monteray Policy," 2014 Meeting Papers 830, Society for Economic Dynamics.
    135. Griffiths, William E. & O'Donnell, Christopher J., 2005. "Estimating variable returns to scale production frontiers with alternative stochastic assumptions," Journal of Econometrics, Elsevier, vol. 126(2), pages 385-409, June.
    136. Adjemian, Stéphane & Bastani, Houtan & Juillard, Michel & Karamé, Fréderic & Mihoubi, Ferhat & Mutschler, Willi & Pfeifer, Johannes & Ratto, Marco & Rion, Normann & Villemot, Sébastien, 2022. "Dynare: Reference Manual Version 5," Dynare Working Papers 72, CEPREMAP, revised Mar 2023.
      • Stéphane Adjemian & Houtan Bastani & Michel Juillard & Frédéric Karamé & Ferhat Mihoubi & Willi Mutschler & Johannes Pfeifer & Marco Ratto & Sébastien Villemot & Normann Rion, 2023. "Dynare: Reference Manual Version 5," PSE Working Papers hal-04219920, HAL.
      • Stéphane Adjemian & Houtan Bastani & Michel Juillard & Frédéric Karamé & Ferhat Mihoubi & Willi Mutschler & Johannes Pfeifer & Marco Ratto & Sébastien Villemot & Normann Rion, 2023. "Dynare: Reference Manual Version 5," Working Papers hal-04219920, HAL.
    137. Woźniak, Tomasz, 2015. "Testing causality between two vectors in multivariate GARCH models," International Journal of Forecasting, Elsevier, vol. 31(3), pages 876-894.
    138. Lindé, Jesper & Smets, Frank & Wouters, Rafael, 2016. "Challenges for Central Banks´ Macro Models," Working Paper Series 323, Sveriges Riksbank (Central Bank of Sweden).
    139. Alessia Paccagnini, 2012. "Comparing Hybrid DSGE Models," Working Papers 228, University of Milano-Bicocca, Department of Economics, revised Dec 2012.
    140. Benchimol, Jonathan & Fourçans, André, 2012. "Money and risk in a DSGE framework: A Bayesian application to the Eurozone," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 95-111.
    141. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    142. Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2009. "A comparison of forecast performance between Federal Reserve staff forecasts, simple reduced-form models, and a DSGE model," Finance and Economics Discussion Series 2009-10, Board of Governors of the Federal Reserve System (U.S.).
    143. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2014. "An Empirical Assessment of Optimal Monetary Policy Delegation in the Euro Area," Stirling Economics Discussion Papers 2014-11, University of Stirling, Division of Economics.
    144. Ardia, David & Baştürk, Nalan & Hoogerheide, Lennart & van Dijk, Herman K., 2012. "A comparative study of Monte Carlo methods for efficient evaluation of marginal likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3398-3414.
    145. Görtz, Christoph & Tsoukalas, John, 2011. "News and financial intermediation in aggregate and sectoral fluctuations," MPRA Paper 38986, University Library of Munich, Germany, revised Mar 2012.
    146. Xiaoshan Chen & Ronald Macdonald, 2012. "Realized and Optimal Monetary Policy Rules in an Estimated Markov‐Switching DSGE Model of the United Kingdom," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(6), pages 1091-1116, September.
    147. Agostino Consolo & Carlo A. Favero & Alessia Paccagnini, 2007. "On the Statistical Identification of DSGE Models," Working Papers 324, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    148. Viktor Winschel & Markus Krätzig, 2008. "Solving, Estimating and Selecting Nonlinear Dynamic Models without the Curse of Dimensionality," SFB 649 Discussion Papers SFB649DP2008-018, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    149. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez & Manuel S. Santos, 2006. "Convergence Properties of the Likelihood of Computed Dynamic Models," Econometrica, Econometric Society, vol. 74(1), pages 93-119, January.
    150. Fiorentini, G. & Planas, C. & Rossi, A., 2012. "The marginal likelihood of dynamic mixture models," Computational Statistics & Data Analysis, Elsevier, vol. 56(9), pages 2650-2662.
    151. Zhang, Xibin & King, Maxwell L. & Shang, Han Lin, 2014. "A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density," Computational Statistics & Data Analysis, Elsevier, vol. 78(C), pages 218-234.
    152. Efthymios G. Tsionas & Kien C. Tran & Panayotis G. Michaelides, 2019. "Bayesian inference in threshold stochastic frontier models," Empirical Economics, Springer, vol. 56(2), pages 399-422, February.
    153. Hirose, Yasuo, 2020. "An Estimated Dsge Model With A Deflation Steady State," Macroeconomic Dynamics, Cambridge University Press, vol. 24(5), pages 1151-1185, July.
    154. Jonathan Benchimol, 2011. "Money in the production function: a New Keynesian DSGE perspective," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00800539, HAL.
    155. Y.K. Tse & Xibin Zhang & Jun Yu, 2002. "Estimation of Hyperbolic Diffusion Using MCMC Method," Monash Econometrics and Business Statistics Working Papers 18/02, Monash University, Department of Econometrics and Business Statistics.
    156. Fernández-Villaverde, J. & Rubio-Ramírez, J.F. & Schorfheide, F., 2016. "Solution and Estimation Methods for DSGE Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 527-724, Elsevier.
    157. Stelios Bekiros & Alessia Paccagnini, 2013. "Policy-oriented macroeconomic forecasting with hybrid DGSE and time-varying parameter VAR models," Working Papers 236, University of Milano-Bicocca, Department of Economics, revised Feb 2013.
    158. Munechika Katayama & Kwang Hwan Kim, 2015. "Inter-sectoral Labor Immobility, Sectoral Co-movement, and News Shocks," Discussion papers e-15-011, Graduate School of Economics , Kyoto University.
    159. Li, Mingliang & Tobias, Justin L., 2011. "Bayesian inference in a correlated random coefficients model: Modeling causal effect heterogeneity with an application to heterogeneous returns to schooling," Journal of Econometrics, Elsevier, vol. 162(2), pages 345-361, June.
    160. Renata Wróbel-Rotter, 2016. "Impulse Response Functions in the Dynamic Stochastic General Equilibrium Vector Autoregression Model," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(2), pages 93-114, June.
    161. Konstantinos Theodoridis & Francesco Zanetti, 2016. "News shocks and labour market dynamics in matching models," Canadian Journal of Economics, Canadian Economics Association, vol. 49(3), pages 906-930, August.
    162. Gantert, Konstantin, 2022. "The impact of active aggregate demand on utilisation-adjusted TFP," IWH Discussion Papers 9/2022, Halle Institute for Economic Research (IWH).
    163. Fujiwara, Ippei & Hara, Naoko & Hirose, Yasuo & Teranishi, Yuki, 2005. "The Japanese Economic Model (JEM)," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 23(2), pages 61-142, May.
    164. Fabrice Collard & Harris Dellas, 2008. "Monetary Policy and Inflation in the 70s," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(8), pages 1765-1781, December.
    165. Cristiano Cantore & Paul Levine & Joseph Pearlman & Bo Yang, 2014. "CES Technology and Business Cycle Fluctuations," School of Economics Discussion Papers 0414, School of Economics, University of Surrey.
    166. Queijo von Heideken, Virginia, 2008. "How Important are Financial Frictions in the U.S. and the Euro Area?," Working Paper Series 223, Sveriges Riksbank (Central Bank of Sweden).
    167. Vasco J. Gabriel & Paul Levine & Bo Yang, 2023. "Partial dollarization and financial frictions in emerging economies," Review of International Economics, Wiley Blackwell, vol. 31(2), pages 609-651, May.
    168. McCAUSLAND, William J., 2004. "Time Reversibility of Stationary Regular Finite State Markov Chains," Cahiers de recherche 09-2004, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    169. Gianni Amisano & Massimiliano Serati, 2003. "What goes up sometimes stays up: shocks and institutions as determinants of unemployment persistence," Scottish Journal of Political Economy, Scottish Economic Society, vol. 50(4), pages 440-470, September.
    170. Chen, Xiaoshan & Leeper, Eric M. & Leith, Campbell, 2015. "US Monetary and Fiscal Policies - Conflict or Cooperation?," SIRE Discussion Papers 2015-77, Scottish Institute for Research in Economics (SIRE).
    171. Warne, Anders, 2006. "Bayesian inference in cointegrated VAR models: with applications to the demand for euro area M3," Working Paper Series 692, European Central Bank.
    172. Rituparna Sen & Anandamayee Majumdar & Shubhangi Sikaria, 2021. "Bayesian Testing Of Granger Causality In Functional Time Series," Papers 2112.15315, arXiv.org.
    173. Patel, Pankaj C. & Tsionas, Mike G., 2022. "Cultural interconnectedness in supply chain networks and change in performance: An internal efficiency perspective," International Journal of Production Economics, Elsevier, vol. 243(C).
    174. Liu, Ding & Zhang, Yue & Sun, Weihong, 2020. "Commitment or discretion? An empirical investigation of monetary policy preferences in China," Economic Modelling, Elsevier, vol. 85(C), pages 409-419.
    175. Nakajima, Jouchi & Kasuya, Munehisa & Watanabe, Toshiaki, 2011. "Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy," Journal of the Japanese and International Economies, Elsevier, vol. 25(3), pages 225-245, September.
    176. Jonathan Benchimol & André Fourçans, 2019. "Central bank losses and monetary policy rules: A DSGE investigation," Post-Print hal-02876656, HAL.
    177. Svetlana Bryzgalova & Jiantao Huang & Christian Julliard, 2023. "Bayesian Solutions for the Factor Zoo: We Just Ran Two Quadrillion Models," Journal of Finance, American Finance Association, vol. 78(1), pages 487-557, February.
    178. Cúrdia, Vasco & Finocchiaro, Daria, 2005. "An Estimated DSGE Model for Sweden with a Monetary Regime Change," Seminar Papers 740, Stockholm University, Institute for International Economic Studies.
    179. Wolf, Elias, 2023. "Estimating Growth at Risk with Skewed Stochastic Volatility Models," VfS Annual Conference 2023 (Regensburg): Growth and the "sociale Frage" 277696, Verein für Socialpolitik / German Economic Association.
    180. Cogley, Timothy & De Paoli, Bianca & Matthes, Christian & Nikolov, Kalin & Yates, Tony, 2011. "A Bayesian approach to optimal monetary policy with parameter and model uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2186-2212.
    181. Smets, Frank & Wouters, Raf, 2002. "An estimated stochastic dynamic general equilibrium model of the euro area," Working Paper Series 171, European Central Bank.
    182. Darcy K. Fudge Kamal & Florence Honoré & Cristina Nistor, 2021. "When the weak are mighty: A two‐sided matching approach to alliance performance," Strategic Management Journal, Wiley Blackwell, vol. 42(5), pages 917-940, May.
    183. Bergholt, Drago & Larsen, Vegard H. & Seneca, Martin, 2019. "Business cycles in an oil economy," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 283-303.
    184. Ms. Keiko Honjo & Mr. Benjamin L Hunt, 2006. "Stabilizing Inflation in Iceland," IMF Working Papers 2006/262, International Monetary Fund.
    185. Marianna Belloc & Ugo Pagano, 2009. "Politics-Business Interaction Paths," CESifo Working Paper Series 2883, CESifo.
    186. de Pooter, M.D. & Ravazzolo, F. & Segers, R. & van Dijk, H.K., 2008. "Bayesian near-boundary analysis in basic macroeconomic time series models," Econometric Institute Research Papers EI 2008-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    187. Nora Traum & Shu-Chun Susan Yang, 2010. "Does Government Debt Crowd Out Investment? A Bayesian DSGE Approach: Working Paper 2010-02," Working Papers 21397, Congressional Budget Office.
    188. Gary Koop, 1999. "Bayesian inference in models based on equilibrium search theory," Edinburgh School of Economics Discussion Paper Series 12, Edinburgh School of Economics, University of Edinburgh.
    189. Frank Smets & Raf Wouters, 2003. "An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area," Journal of the European Economic Association, MIT Press, vol. 1(5), pages 1123-1175, September.
    190. Yasuo Hirose & Saori Naganuma, 2007. "Structural Estimation of the Output Gap: A Bayesian DSGE Approach for the U.S. Economy," Bank of Japan Working Paper Series 07-E-24, Bank of Japan.
    191. Summers, Peter M., 2004. "Bayesian evidence on the structure of unemployment," Economics Letters, Elsevier, vol. 83(3), pages 299-306, June.
    192. John C. Robertson & Ellis W. Tallman, 1999. "Prior parameter uncertainty: Some implications for forecasting and policy analysis with VAR models," FRB Atlanta Working Paper 99-13, Federal Reserve Bank of Atlanta.
    193. Xiaoshan Chen & Tatiana Kirsanova & Campbell Leith, 2013. "How Optimal is US Monetary Policy?," Working Papers 2013_08, Business School - Economics, University of Glasgow.
    194. Taylor, John & Wieland, Volker, 2009. "Surprising comparative properties of monetary models: Results from a new data base," CEPR Discussion Papers 7294, C.E.P.R. Discussion Papers.
    195. Todd E. Clark & Taeyoung Doh, 2011. "A Bayesian evaluation of alternative models of trend inflation," Working Papers (Old Series) 1134, Federal Reserve Bank of Cleveland.
    196. Francesco Bianchi & Giovanni Nicolo, 2019. "A Generalized Approach to Indeterminacy in Linear Rational Expectations Models," Finance and Economics Discussion Series 2019-033, Board of Governors of the Federal Reserve System (U.S.).
    197. Nicoletta Batini & Alejandro Justiniano & Paul Levine & Joseph Pearlman, 2004. "Robust Inflation-Forecast-Based Rules to Shield against Indeterminacy," School of Economics Discussion Papers 0804, School of Economics, University of Surrey.
    198. Cléaud, G. & Lemoine, M. & Pionnier, P.-A., 2013. "Which size and evolution of the government expenditure multiplier in France (1980-2010)?," Working papers 469, Banque de France.
    199. John B. Taylor, 2016. "The Staying Power of Staggered Wage and Price Setting Models in Macroeconomics," NBER Working Papers 22356, National Bureau of Economic Research, Inc.
    200. Leonardo Melosi & Eran Yashiv & Renato Faccini, 2016. "Hiring and Investment Frictions as Inflation Determinants," 2016 Meeting Papers 1606, Society for Economic Dynamics.
    201. Clark, Todd E. & Davig, Troy, 2011. "Decomposing the declining volatility of long-term inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 35(7), pages 981-999, July.
    202. Eric M. Leeper & Tao Zha, 2002. "Modest Policy Interventions," NBER Working Papers 9192, National Bureau of Economic Research, Inc.
    203. Joshua C. C. Chan, 2022. "Comparing Stochastic Volatility Specifications for Large Bayesian VARs," Papers 2208.13255, arXiv.org.
    204. Ben Aïssa, Mohamed Safouane & Rebei, Nooman, 2012. "Price subsidies and the conduct of monetary policy," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 769-787.
    205. Liesenfeld, Roman & Richard, Jean-François, 2008. "Improving MCMC, using efficient importance sampling," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 272-288, December.
    206. Marcin Kolasa, 2008. "Structural heterogeneity or asymmetric shocks? Poland and the euro area through the lens of a two-country DSGE model," NBP Working Papers 49, Narodowy Bank Polski.
    207. Rodrigo Caputo & Felipe Liendo & Juan Pablo Medina, 2006. "New Keynesian Models For Chile During the Inflation Targeting Regime: A Structural Approach," Working Papers Central Bank of Chile 402, Central Bank of Chile.
    208. Chotikapanich, Duangkamon & Griffiths, William E., 2000. "Flexible Distributed Lags," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123623, Australian Agricultural and Resource Economics Society.
    209. McCAUSLAND, William, 2004. "Bayesian Analysis for a Theory of Random Consumer Demand: The Case of Indivisible Goods," Cahiers de recherche 2004-05, Universite de Montreal, Departement de sciences economiques.
    210. Thomas B. King & Andrew T. Levin & Roberto Perli, 2007. "Financial market perceptions of recession risk," Finance and Economics Discussion Series 2007-57, Board of Governors of the Federal Reserve System (U.S.).
    211. Elton Beqiraj & Giovanni Di Bartolomeo & Marco Di Pietro & Carolina Serpieri, 2020. "Bounded rationality and heterogeneous expectations: Euler versus anticipated-utility approach," Journal of Economics, Springer, vol. 130(3), pages 249-273, August.
    212. Tsionas, Mike G., 2019. "Multi-objective optimization using statistical models," European Journal of Operational Research, Elsevier, vol. 276(1), pages 364-378.
    213. Henrike Michaelis & Sebastian Watzka, 2014. "Are there Differences in the Effectiveness of Quantitative Easing at the Zero-Lower-Bound in Japan over Time?," CESifo Working Paper Series 4901, CESifo.
    214. Giovanni Melina & Stefania Villa, 2015. "Leaning Against Windy Bank Lending," CESifo Working Paper Series 5317, CESifo.
    215. Cavallari, Lilia & Etro, Federico, 2020. "Demand, markups and the business cycle," European Economic Review, Elsevier, vol. 127(C).
    216. William E. Griffiths & R. Carter Hill & Christopher J. O'Donnell, 2001. "Including Prior Information in Probit Model Estimation," Department of Economics - Working Papers Series 816, The University of Melbourne.
    217. Saroj Bhattara & Gauti Eggertsson & Raphael Schoenle, 2012. "Is Increased Price Flexibility Stabilizing? Redux," Working Papers 41, Brandeis University, Department of Economics and International Business School.
    218. Hibiki Ichiue & Takushi Kurozumi & Takeki Sunakawa, 2008. "Inflation Dynamics and Labor Adjustments in Japan: A Bayesian DSGE Approach," Bank of Japan Working Paper Series 08-E-9, Bank of Japan.
    219. Raf Wouters & Frank Smets, 2005. "Comparing shocks and frictions in US and euro area business cycles: a Bayesian DSGE Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(2), pages 161-183.
    220. James M. Nason & John H. Rogers, 2008. "Exchange rates and fundamentals: a generalization," International Finance Discussion Papers 948, Board of Governors of the Federal Reserve System (U.S.).
    221. Riccardo Cristadoro & Andrea Gerali & Stefano Neri & Massimiliano Pisani, 2008. "Real exchange rate volatility and disconnect: an empirical investigation," Temi di discussione (Economic working papers) 660, Bank of Italy, Economic Research and International Relations Area.
    222. Castelnuovo, Efrem, 2010. "Trend inflation and macroeconomic volatilities in the post-WWII U.S. economy," The North American Journal of Economics and Finance, Elsevier, vol. 21(1), pages 19-33, March.
    223. Eric M. Leeper & Nora Traum & Todd B. Walker, 2015. "Clearing Up the Fiscal Multiplier Morass: Prior and Posterior Analysis," NBER Working Papers 21433, National Bureau of Economic Research, Inc.
    224. Niels Arne Dam & Carlos Carvalho, 2009. "Estimating the Cross-sectional Distribution of Price Stickiness from Aggregate Data," 2009 Meeting Papers 702, Society for Economic Dynamics.
    225. Villa, Stefania, 2016. "Financial Frictions In The Euro Area And The United States: A Bayesian Assessment," Macroeconomic Dynamics, Cambridge University Press, vol. 20(5), pages 1313-1340, July.
    226. Xibin Zhang & Maxwell L. King & Han Lin Shang, 2011. "Bayesian estimation of bandwidths for a nonparametric regression model with a flexible error density," Monash Econometrics and Business Statistics Working Papers 10/11, Monash University, Department of Econometrics and Business Statistics.
    227. Coenen, Günter & Straub, Roland, 2005. "Does government spending crowd in private consumption? Theory and empirical evidence for the euro area," Working Paper Series 513, European Central Bank.
    228. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Konstantakis, Konstantinos N., 2018. "Debt Crisis in Europe (2001-2015): A Network General Equilibrium GVAR approach," MPRA Paper 89998, University Library of Munich, Germany.
    229. Zheng Liu, 2009. "Sources of the Great Moderation: Shocks, Frictions, or Monetary Policy?," 2009 Meeting Papers 379, Society for Economic Dynamics.
    230. Florence Honoré & Martin Ganco, 2016. "Entrepreneurial teams' acquisition of talent: a two-sided approach," Working Papers 16-45, Center for Economic Studies, U.S. Census Bureau.
    231. Duangkamon Chotikapanich & William E. Griffiths, 2003. "Averaging Lorenz Curves," Monash Econometrics and Business Statistics Working Papers 22/03, Monash University, Department of Econometrics and Business Statistics.
    232. Ippei Fujiwara & Yasuo Hirose & Mototsugu Shintani, 2011. "Can News Be a Major Source of Aggregate Fluctuations? A Bayesian DSGE Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(1), pages 1-29, February.
    233. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2022. "Uncertain identification," Quantitative Economics, Econometric Society, vol. 13(1), pages 95-123, January.
    234. C.S. Forbes & G.M. Martin & J. Wright, 2002. "Bayesian Estimation of a Stochastic Volatility Model Using Option and Spot Prices," Monash Econometrics and Business Statistics Working Papers 2/02, Monash University, Department of Econometrics and Business Statistics.
    235. Cristina Fuentes-Albero & Leonardo Melosi, 2011. "Methods for Computing Marginal Data Densities from the Gibbs Output," Departmental Working Papers 201131, Rutgers University, Department of Economics.
    236. Wolfgang Aussenegg & Tatiana Miazhynskaia, 2006. "Uncertainty in Value-at-risk Estimates under Parametric and Non-parametric Modeling," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 20(3), pages 243-264, September.
    237. Anton A. Cheremukhin, 2011. "Labor matching: putting the pieces together," Working Papers 1102, Federal Reserve Bank of Dallas.
    238. Georgiana-Alina Ionita, 2016. "The Role of the Monetary Policy in the Context of the Macroeconomic Policies Mix –A Fiscal and Monetary Policy Case Study for Romania," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 12(6), pages 195-212, DECEMBER.
    239. Koop, G. & van Dijk, H.K., 1999. "Testing for integration using evolving trend and seasonal models: A Bayesian approach," Econometric Institute Research Papers EI 9934/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    240. Markku Lanne & Arto Luoma & Jani Luoto, 2012. "Bayesian Model Selection And Forecasting In Noncausal Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 812-830, August.
    241. Markku Lanne & Jani Luoto, 2014. "Noncausal Bayesian Vector Autoregression," CREATES Research Papers 2014-07, Department of Economics and Business Economics, Aarhus University.
    242. Ding Ding & Rahul Anand & Mr. Shanaka J Peiris, 2011. "Towards Inflation Targeting in Sri Lanka," IMF Working Papers 2011/081, International Monetary Fund.
    243. de Pooter, M.D. & Segers, R. & van Dijk, H.K., 2006. "Gibbs sampling in econometric practice," Econometric Institute Research Papers EI 2006-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    244. Lindé, J. & Smets, F. & Wouters, R., 2016. "Challenges for Central Banks’ Macro Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 2185-2262, Elsevier.
    245. Mr. Nooman Rebei, 2012. "What (Really) Accounts for the Fall in Hours After a Technology Shock?," IMF Working Papers 2012/211, International Monetary Fund.
    246. Veyssiere, Luc Pierre, 2009. "A three essays dissertation on agricultural and environmental microeconomics," ISU General Staff Papers 200901010800001958, Iowa State University, Department of Economics.
    247. Fabio Milani, 2009. "Adaptive Learning and Macroeconomic Inertia in the Euro Area," Journal of Common Market Studies, Wiley Blackwell, vol. 47(3), pages 579-599, June.
    248. Allan Dizioli & Jochen M. Schmittmann, 2015. "A Macro-Model Approach to Monetary Policy Analysis and Forecasting for Vietnam," IMF Working Papers 2015/273, International Monetary Fund.
    249. Qureshi, Irfan, 2018. "Money Aggregates and Determinacy : A Reinterpretation of Monetary Policy During the Great Inflation," The Warwick Economics Research Paper Series (TWERPS) 1156, University of Warwick, Department of Economics.
    250. Stefan Leist, 2013. "Driving Forces of the Swiss Output Gap," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 149(IV), pages 493-531, December.
    251. Koop, G. & Strachan, R.W. & van Dijk, H.K. & Villani, M., 2005. "Bayesian approaches to cointegratrion," Econometric Institute Research Papers EI 2005-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    252. Troy Davig & Taeyoung Doh, 2014. "Monetary Policy Regime Shifts and Inflation Persistence," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 862-875, December.
    253. Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2016. "Bayesian Vector Autoregressions with Non-Gaussian Shocks," CReMFi Discussion Papers 5, CReMFi, School of Economics and Finance, QMUL.
    254. Gareis, Johannes & Mayer, Eric, 2012. "What drives Ireland's housing market? A Bayesian DSGE approach," W.E.P. - Würzburg Economic Papers 88, University of Würzburg, Department of Economics.
    255. Yasuo Hirose & Takeki Sunakawa, 2019. "Review of Solution and Estimation Methods for Nonlinear Dynamic Stochastic General Equilibrium Models with the Zero Lower Bound," The Japanese Economic Review, Japanese Economic Association, vol. 70(1), pages 51-104, March.
    256. Takashi Kano & Hafedh Bouakez, 2005. "Learning-by-Doing or Habit Formation?," 2005 Meeting Papers 513, Society for Economic Dynamics.
    257. Aeimit Lakdawala & Davide Debortoli, 2013. "How credible is the Federal Reserve?:A structural estimation of policy re-optimizations," 2013 Meeting Papers 1333, Society for Economic Dynamics.
    258. Yacine Belarbi & Abdallah Zouache, 2009. "Regional Employment Growth And Spatial Dependencies In Algeria (1998-2005)," Working Papers 501, Economic Research Forum, revised Aug 2009.
    259. Mr. Pau Rabanal, 2003. "The Cost Channel of Monetary Policy: Further Evidence for the United States and the Euro Area," IMF Working Papers 2003/149, International Monetary Fund.
    260. Waggoner, Daniel F. & Zha, Tao, 2012. "Confronting model misspecification in macroeconomics," Journal of Econometrics, Elsevier, vol. 171(2), pages 167-184.
    261. Punnoose Jacob & Anella Munro, 2016. "A macroprudential stable funding requirement and monetary policy in a small open economy," CAMA Working Papers 2016-23, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    262. Thomai Filippeli, 2011. "Theoretical Priors for BVAR Models & Quasi-Bayesian DSGE Model Estimation," 2011 Meeting Papers 396, Society for Economic Dynamics.
    263. Malin Adolfson & Jesper Linde & Mattias Villani, 2007. "Forecasting Performance of an Open Economy DSGE Model," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 289-328.
    264. Dahem, Ahlem & Skander, Slim & Fatma, Siala Guermazi, 2017. "Time Varying VAR Analysis for Disaggregated Exchange Rate Pass-through in Tunisia," MPRA Paper 79759, University Library of Munich, Germany, revised 2017.
    265. Qureshi, Irfan, 2017. "Monetary Policy Shifts and Central Bank Independence," The Warwick Economics Research Paper Series (TWERPS) 1139, University of Warwick, Department of Economics.
    266. Tsionas, Mike G. & Philippas, Dionisis & Philippas, Nikolaos, 2022. "Multivariate stochastic volatility for herding detection: Evidence from the energy sector," Energy Economics, Elsevier, vol. 109(C).
    267. Warne, Anders & Droumaguet, Matthieu & Woźniak, Tomasz, 2015. "Granger causality and regime inference in Bayesian Markov-Switching VARs," Working Paper Series 1794, European Central Bank.
    268. Canova, Fabio & Ferroni, Filippo, 2012. "The dynamics of US inflation: Can monetary policy explain the changes?," Journal of Econometrics, Elsevier, vol. 167(1), pages 47-60.
    269. Ross Doppelt & Keith O'Hara, 2018. "Bayesian Estimation of Fractionally Integrated Vector Autoregressions and an Application to Identified Technology Shocks," 2018 Meeting Papers 1212, Society for Economic Dynamics.
    270. Carlos Viana de Carvalho & Niels Arne Dam & Jae Won Lee, 2014. "Real Rigidities and the Cross-Sectional Distribution of Price Stickiness: Evidence from Micro and Macro Data Combined," Textos para discussão 634, Department of Economics PUC-Rio (Brazil).
    271. Ms. Dora M Iakova, 2007. "Flattening of the Phillips Curve: Implications for Monetary Policy," IMF Working Papers 2007/076, International Monetary Fund.
    272. Brian Hanlon & Catherine Forbes, 2002. "Model Selection Criteria for Segmented Time Series from a Bayesian Approach to Information Compression," Monash Econometrics and Business Statistics Working Papers 8/02, Monash University, Department of Econometrics and Business Statistics.
    273. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011. "Combination Schemes for Turning Point Predictions," Tinbergen Institute Discussion Papers 11-123/4, Tinbergen Institute.
    274. Dilip Nachane, 2017. "Dynamic stochastic general equilibrium (DSGE) modelling in practice: identification, estimation and evaluation," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 10(2), pages 107-134, May.
    275. Lorenzo Forni & Andrea Gerali & Alessandro Notarpietro & Massimiliano Pisani, 2012. "Euro area and global oil shocks: an empirical model-based analysis," Temi di discussione (Economic working papers) 873, Bank of Italy, Economic Research and International Relations Area.
    276. Jouini, Nizar & Rebei, Nooman, 2014. "The welfare implications of services liberalization in a developing country," Journal of Development Economics, Elsevier, vol. 106(C), pages 1-14.
    277. Michele Loberto & Chiara Perricone, 2015. "Does trend inflation make a difference?," Temi di discussione (Economic working papers) 1033, Bank of Italy, Economic Research and International Relations Area.
    278. Eric M. Leeper & Nora Traum & Todd B. Walker, 2015. "Clearing Up the Fiscal Multiplier Morass," CAEPR Working Papers 2015-013, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    279. Alpanda, Sami & Zubairy, Sarah, 2017. "Addressing household indebtedness: Monetary, fiscal or macroprudential policy?," European Economic Review, Elsevier, vol. 92(C), pages 47-73.
    280. Drago Bergholt, 2015. "Foreign shocks," Working Paper 2015/15, Norges Bank.
      • Drago Bergholt, 2015. "Foreign Shocks," Working Papers No 11/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    281. Joshua C.C. Chan & Angelia L. Grant, 2015. "Pitfalls of Estimating the Marginal Likelihood Using the Modified Harmonic Mean," CAMA Working Papers 2015-08, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    282. Stelios Bekiros & Alessia Paccagnini, 2013. "On the predictability of time-varying VAR and DSGE models," Empirical Economics, Springer, vol. 45(1), pages 635-664, August.
    283. Markus Brunnermeier & Darius Palia & Karthik A. Sastry & Christopher A. Sims, 2021. "Feedbacks: Financial Markets and Economic Activity," American Economic Review, American Economic Association, vol. 111(6), pages 1845-1879, June.
    284. Vasco Curdia & Andrea Ferrero & Ging Cee Ng & Andrea Tambalotti, 2014. "Has U.S. Monetary Policy Tracked the Efficient Interest Rate?," Working Paper Series 2014-12, Federal Reserve Bank of San Francisco.
    285. Pau Rabanal & Juan F. Rubio-Ramirez, 2001. "Nominal versus real wage rigidities: A Bayesian approach," FRB Atlanta Working Paper 2001-22, Federal Reserve Bank of Atlanta.
    286. Alexander Rathke & Samad Sarferaz, 2014. "Malthus and the Industrial Revolution: Evidence from a Time-Varying VAR," CESifo Working Paper Series 4667, CESifo.
    287. Philip Liu, 2007. "Stabilizing The Australian Business Cycle: Good Luck Or Good Policy?," CAMA Working Papers 2007-24, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    288. Jesús Fernández-Villaverde, 2010. "The econometrics of DSGE models," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 3-49, March.
    289. McAdam, Peter & Levine, Paul & Pearlman, Joseph G., 2007. "Quantifying and sustaining welfare gains from monetary commitment," Working Paper Series 709, European Central Bank.
    290. Naoko Hara & Munechika Katayama & Ryo Kato, 2014. "Rising Skill Premium?: The Roles of Capital-Skill Complementarity and Sectoral Shifts in a Two-Sector Economy," Bank of Japan Working Paper Series 14-E-9, Bank of Japan.
    291. Stelios D. Bekiros & Alessia Paccagnini, 2014. "Bayesian forecasting with small and medium scale factor-augmented vector autoregressive DSGE models," Open Access publications 10197/7322, School of Economics, University College Dublin.
    292. Chen, Xiaoshan & Kirsanova, Tatiana & Leith, Campbell, 2017. "An empirical assessment of Optimal Monetary Policy in the Euro area," European Economic Review, Elsevier, vol. 100(C), pages 95-115.
    293. Choi, Jinho & Hur, Joonyoung, 2015. "An examination of macroeconomic fluctuations in Korea exploiting a Markov-switching DSGE approach," Economic Modelling, Elsevier, vol. 51(C), pages 183-199.
    294. Charles S. Bos & Ronald J. Mahieu & Herman K. Van Dijk, 2000. "Daily exchange rate behaviour and hedging of currency risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 671-696.
    295. Giacomo Candian & Mikhail Dmitriev, 2019. "Default Recovery Rates and Aggregate Fluctuations," Working Papers wp2019_09_01, Department of Economics, Florida State University.
    296. Shulgin, Andrei, 2014. "How much monetary policy rules do we need to estimate DSGE model for Russia?," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 36(4), pages 3-31.
    297. Jung Yong-Gook, 2015. "Investment lags and macroeconomic dynamics," The B.E. Journal of Macroeconomics, De Gruyter, vol. 15(1), pages 1-43, January.
    298. Shami, R.G. & Forbes, C.S., 2000. "A structural Time Series Model with Markov Switching," Monash Econometrics and Business Statistics Working Papers 10/00, Monash University, Department of Econometrics and Business Statistics.
    299. Leeper, Eric M. & Plante, Michael & Traum, Nora, 2010. "Dynamics of fiscal financing in the United States," Journal of Econometrics, Elsevier, vol. 156(2), pages 304-321, June.
    300. Gael Martin, 2001. "Bayesian Analysis Of A Fractional Cointegration Model," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 217-234.
    301. Ewen Gallic & Gauthier Vermandel, 2019. "Weather Shocks," Working Papers halshs-02127846, HAL.
    302. Filippeli, Thomai & Harrison, Richard & Theodoridis, Konstantinos, 2018. "DSGE-based Priors for BVARs & Quasi-Bayesian DSGE Estimation," Cardiff Economics Working Papers E2018/5, Cardiff University, Cardiff Business School, Economics Section.
    303. Villani, Mattias & Larsson, Rolf, 2004. "The Multivariate Split Normal Distribution and Asymmetric Principal Components Analysis," Working Paper Series 175, Sveriges Riksbank (Central Bank of Sweden).
    304. Thomas A. Lubik, 2016. "How Large Are Returns to Scale in the U.S.? A View Across the Boundary," Economic Quarterly, Federal Reserve Bank of Richmond, issue 1Q, pages 79-103.
    305. Bech, Morten L. & Chapman, James T.E. & Garratt, Rodney J., 2010. "Which bank is the "central" bank?," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 352-363, April.
    306. Jarkko Jääskelä & Rebecca McKibbin, 2010. "Learning in an Estimated Small Open Economy Model," RBA Research Discussion Papers rdp2010-02, Reserve Bank of Australia.
    307. Kenneth Clements & Yihui Lan & Xueyan Zhao, 2010. "The demand for marijuana, tobacco and alcohol: inter-commodity interactions with uncertainty," Empirical Economics, Springer, vol. 39(1), pages 203-239, August.
    308. Christopher A. Sims & Daniel F. Waggoner & Tao Zha, 2006. "Methods for inference in large multiple-equation Markov-switching models," FRB Atlanta Working Paper 2006-22, Federal Reserve Bank of Atlanta.
    309. Rabanal, Pau & Rubio-Ramirez, Juan F., 2005. "Comparing New Keynesian models of the business cycle: A Bayesian approach," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1151-1166, September.
    310. Morita, Hiroshi, 2015. "State-dependent effects of fiscal policy in Japan: Do rule-of-thumb households increase the effects of fiscal policy?," Journal of Macroeconomics, Elsevier, vol. 43(C), pages 49-61.
    311. Mr. Alejandro Justiniano Espigares & Mr. Selim A Elekdag & Mr. Ivan Tchakarov, 2005. "An Estimated Small Open Economy Model of the Financial Accelerator," IMF Working Papers 2005/044, International Monetary Fund.
    312. Jean Boivin & Marc Giannoni, 2006. "DSGE Models in a Data-Rich Environment," NBER Technical Working Papers 0332, National Bureau of Economic Research, Inc.
    313. Christoffel, Kai & Coenen, Gunter & Warne, Anders, 2007. "Conditional versus unconditional forecasting with the New Area-Wide Model of the euro area," MPRA Paper 76759, University Library of Munich, Germany.
    314. Chen, Han, 2017. "The effects of the near-zero interest rate policy in a regime-switching dynamic stochastic general equilibrium model," Journal of Monetary Economics, Elsevier, vol. 90(C), pages 176-192.
    315. Erceg, Christopher J. & Jakab, Zoltan & Lindé, Jesper, 2021. "Monetary policy strategies for the European Central Bank," Journal of Economic Dynamics and Control, Elsevier, vol. 132(C).
    316. Jung, Yong-Gook, 2013. "An inference about the length of the time-to-build period," Economic Modelling, Elsevier, vol. 33(C), pages 42-54.
    317. Silveira, Marcos Antonio, 2008. "Using a Bayesian Approach to Estimate and Compare New Keynesian DSGE Models for the Brazilian Economy: the Role for Endogenous Persistence," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 62(3), November.
    318. Kumbhakar, Subal C. & Tsionas, Mike G., 2021. "Dissections of input and output efficiency: A generalized stochastic frontier model," International Journal of Production Economics, Elsevier, vol. 232(C).
    319. Thomas A Lubik, 2005. "A Simple, Structural, and Empirical Model of the Antipodean Transmission Mechanism," Reserve Bank of New Zealand Discussion Paper Series DP2005/06, Reserve Bank of New Zealand.
    320. John Geweke & Gautam Gowrisankaran & Robert J. Town, 2001. "Bayesian Inference for Hospital Quality in a Selection Model," NBER Working Papers 8497, National Bureau of Economic Research, Inc.
    321. Valerio Scalone, 2015. "Estimating Non-Linear DSGEs with the Approximate Bayesian Computation: an application to the Zero Lower Bound," Working Papers 6/15, Sapienza University of Rome, DISS.
    322. Richard Kleijn & Herman K. van Dijk, 2001. "A Bayesian Analysis of the PPP Puzzle using an Unobserved Components Model," Tinbergen Institute Discussion Papers 01-105/4, Tinbergen Institute.
    323. Di Bartolomeo Giovanni & Di Pietro Marco, 2013. "Price and wage inflation inertia under time-dependent adjustments," wp.comunite 0103, Department of Communication, University of Teramo.
    324. Takushi Kurozumi & Ryohei Oishi & Willem Van Zandweghe, 2022. "Sticky Information Versus Sticky Prices Revisited: A Bayesian VAR-GMM Approach," Working Papers 22-34, Federal Reserve Bank of Cleveland.
    325. Marcelle Chauvet & Chinhui Juhn & Simon M. Potter, 2001. "Markov switching in disaggregate unemployment rates," Staff Reports 132, Federal Reserve Bank of New York.
    326. Thomai Filippeli & Konstantinos Theodoridis, 2014. "DSGE Priors for BVAR Models," Working Papers 713, Queen Mary University of London, School of Economics and Finance.
    327. Herrera, Luis & Vázquez, Jesús, 2023. "On the significance of quality-of-capital news shocks," Economic Modelling, Elsevier, vol. 124(C).
    328. Isaiah Andrews & Jesse M. Shapiro, 2020. "A Model of Scientific Communication," NBER Working Papers 26824, National Bureau of Economic Research, Inc.
    329. Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2018. "The global component of inflation volatility," Temi di discussione (Economic working papers) 1170, Bank of Italy, Economic Research and International Relations Area.
    330. Fernandez-Villaverde, Jesus & Francisco Rubio-Ramirez, Juan, 2004. "Comparing dynamic equilibrium models to data: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 123(1), pages 153-187, November.
    331. Wolf, Elias, 2022. "Estimating growth at risk with skewed stochastic volatility models," Discussion Papers 2022/2, Free University Berlin, School of Business & Economics.
    332. Jan Babecky & Michal Franta & Jakub Rysanek, 2016. "Effects of Fiscal Policy in the DSGE-VAR Framework: The Case of the Czech Republic," Working Papers 2016/09, Czech National Bank.
    333. Christopher A. Sims & Tao Zha, 2004. "MCMC method for Markov mixture simultaneous-equation models: a note," FRB Atlanta Working Paper 2004-15, Federal Reserve Bank of Atlanta.
    334. John J. McCall, 2004. "Induction: From Kolmogorov and Solomonoff to De Finetti and Back to Kolmogorov," Metroeconomica, Wiley Blackwell, vol. 55(2‐3), pages 195-218, May.
    335. Benjamin K. Johannsen & Elmar Mertens, 2016. "A Time Series Model of Interest Rates With the Effective Lower Bound," Finance and Economics Discussion Series 2016-033, Board of Governors of the Federal Reserve System (U.S.).
    336. Zhao, Xueyan & Griffiths, William E. & Griffith, Garry R. & Mullen, John D., 2000. "Probability distributions for economic surplus changes: the case of technical change in the Australian wool industry," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 44(1), pages 1-24.
    337. Philip Arestis & Georgios Chortareas & John D. Tsoukalas, 2010. "Money and Information in a New Neoclassical Synthesis Framework," Discussion Papers 10/01, University of Nottingham, School of Economics.
    338. Aliaga, Augusto, 2020. "Reglas de política monetaria para una economía abierta con fricciones financieras: Un enfoque Bayesiano [Monetary policy rules for an open economy with financial frictions: A Bayesian approach]," MPRA Paper 100604, University Library of Munich, Germany.
    339. Juin-Jen Chang & Hsieh-Yu Lin & Ms. Nora Traum & Susan Yang Shu-Chun, 2019. "Fiscal Consolidation and Public Wages," IMF Working Papers 2019/125, International Monetary Fund.
    340. Xibin Zhang & Maxwell L. King, 2011. "Bayesian semiparametric GARCH models," Monash Econometrics and Business Statistics Working Papers 24/11, Monash University, Department of Econometrics and Business Statistics.
    341. Thomas A. Lubik & Frank Schorfheide, 2004. "Testing for Indeterminacy: An Application to U.S. Monetary Policy," American Economic Review, American Economic Association, vol. 94(1), pages 190-217, March.
    342. Lilia Cavallari & Federico Etro, 2017. "Demand, Markups and the Business Cycle. Bayesian Estimation and Quantitative Analysis in Closed and Open Economies," Working Papers 2017:09, Department of Economics, University of Venice "Ca' Foscari".
    343. Giovanni Nicolo, 2020. "Monetary Policy, Self-Fulfilling Expectations and the U.S. Business Cycle," Finance and Economics Discussion Series 2020-035, Board of Governors of the Federal Reserve System (U.S.).
    344. Song Li & Mervyn J. Silvapulle & Param Silvapulle & Xibin Zhang, 2015. "Bayesian Approaches to Nonparametric Estimation of Densities on the Unit Interval," Econometric Reviews, Taylor & Francis Journals, vol. 34(3), pages 394-412, March.
    345. Di Bartolomeo Giovanni & Di Pietro Marco, 2015. "Intrinsic persistence of wage inflation in New Keynesian models of the business cycles," wp.comunite 0118, Department of Communication, University of Teramo.
    346. Paul Contoyannis & Andrew M. Jones & Roberto Leon‐Gonzalez, 2004. "Using simulation‐based inference with panel data in health economics," Health Economics, John Wiley & Sons, Ltd., vol. 13(2), pages 101-122, February.
    347. Rochelle M. Edge & Michael T. Kiley & Jean-Philippe Laforte, 2009. "A comparision of forecast, simple reduced-form models, and a DSGE model," CAMA Working Papers 2009-03, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    348. Viktors Ajevskis & Kristine Vitola, 2011. "Fixed Exchange Rate Versus Inflation Targeting: Evidence from DSGE Modelling," Working Papers 2011/02, Latvijas Banka.
    349. Canova, Fabio, 2006. "Monetary Policy and the Evolution of the US Economy," CEPR Discussion Papers 5467, C.E.P.R. Discussion Papers.
    350. Kano, Takashi & 加納, 隆 & Nason, James M., 2012. "Appendix: Business Cycle Implications of Internal Consumption Habit for New Keynesian Models," Discussion Papers 2012-08, Graduate School of Economics, Hitotsubashi University.
    351. Chew Lian Chua & Peter Summers, 2004. "Structural Error Correction Model: A Bayesian Perspective," Econometric Society 2004 Far Eastern Meetings 702, Econometric Society.
    352. Canova, Fabio & Ferroni, Filippo, 2020. "A hitchhiker guide to empirical macro models," CEPR Discussion Papers 15446, C.E.P.R. Discussion Papers.
    353. Riggi, Marianna & Tancioni, Massimiliano, 2010. "Nominal vs real wage rigidities in New Keynesian models with hiring costs: A Bayesian evaluation," Journal of Economic Dynamics and Control, Elsevier, vol. 34(7), pages 1305-1324, July.
    354. Adjemian, Stéphane & Juillard, Michel & Karamé, Fréderic & Mutschler, Willi & Pfeifer, Johannes & Ratto, Marco & Rion, Normann & Villemot, Sébastien, 2024. "Dynare: Reference Manual, Version 6," Dynare Working Papers 80, CEPREMAP, revised May 2024.
    355. Smets, Frank & Wouters, Rafael, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," CEPR Discussion Papers 6112, C.E.P.R. Discussion Papers.
    356. Richard Dennis, 2006. "The frequency of price adjustment and New Keynesian business cycle dynamics," Working Paper Series 2006-22, Federal Reserve Bank of San Francisco.
    357. Shayan Zakipour-Saber, 2019. "Monetary policy regimes and inflation persistence in the United Kingdom," Working Papers 895, Queen Mary University of London, School of Economics and Finance.
    358. Iwasaki, Yuto & Muto, Ichiro & Shintani, Mototsugu, 2021. "Missing wage inflation? Estimating the natural rate of unemployment in a nonlinear DSGE model," European Economic Review, Elsevier, vol. 132(C).
    359. Aliaga Miranda, Augusto, 2020. "Monetary policy rules for an open economy with financial frictions: A Bayesian approach," Dynare Working Papers 62, CEPREMAP.
    360. Kobayashi, Genya, 2014. "A transdimensional approximate Bayesian computation using the pseudo-marginal approach for model choice," Computational Statistics & Data Analysis, Elsevier, vol. 80(C), pages 167-183.
    361. Hinterschweiger, Marc & Khairnar, Kunal & Ozden, Tolga & Stratton, Tom, 2021. "Macroprudential policy interactions in a sectoral DSGE model with staggered interest rates," Bank of England working papers 904, Bank of England.
    362. Richard H. Clarida & Ildikó Magyari, 2016. "International Financial Adjustment in a Canonical Open Economy Growth Model," NBER Working Papers 22758, National Bureau of Economic Research, Inc.
    363. Pablo Guerrón-Quintana & Alexey Khazanov & Molin Zhong, 2023. "Financial and Macroeconomic Data Through the Lens of a Nonlinear Dynamic Factor Model," Finance and Economics Discussion Series 2023-027, Board of Governors of the Federal Reserve System (U.S.).
    364. Giovanni Di Bartolomeo & Lorenza Rossi & Massimiliano Tancioni, 2009. "Monetary Policy, Rule-of-Thumb Consumers and External Habits: A G7 Comparison," Quaderni di Dipartimento 101, University of Pavia, Department of Economics and Quantitative Methods.
    365. Kliem, Martin & Uhlig, Harald, 2013. "Bayesian estimation of a DSGE model with asset prices," Discussion Papers 37/2013, Deutsche Bundesbank.
    366. Oskar Gustafsson & Mattias Villani & Pär Stockhammar, 2023. "Bayesian optimization of hyperparameters from noisy marginal likelihood estimates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 577-595, June.
    367. Rodrigo Caputo & Felipe Liendo & Juan Pablo Medina, 2007. "New Keynesian Models for Chile in the Inflation-Targeting Period," Central Banking, Analysis, and Economic Policies Book Series, in: Frederic S. Miskin & Klaus Schmidt-Hebbel & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Se (ed.),Monetary Policy under Inflation Targeting, edition 1, volume 11, chapter 13, pages 507-546, Central Bank of Chile.
    368. Dewachter, Hans & Iania, Leonardo & Lyrio, Marco, 2011. "A New-Keynesian Model of the Yield Curve with Learning Dynamics: A Bayesian Evaluation," Insper Working Papers wpe_250, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    369. Vasco Curdia & Andrea Ferrero & Ging Cee Ng & Andrea Tambalotti, 2011. "Evaluating interest rate rules in an estimated DSGE model," Staff Reports 510, Federal Reserve Bank of New York.
    370. Cardani, Roberta & Croitorov, Olga & Giovannini, Massimo & Pfeiffer, Philipp & Ratto, Marco & Vogel, Lukas, 2022. "The euro area’s pandemic recession: A DSGE-based interpretation," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
    371. Doğan, Osman, 2023. "Modified harmonic mean method for spatial autoregressive models," Economics Letters, Elsevier, vol. 223(C).
    372. Pytlarczyk, Ernest, 2005. "An estimated DSGE model for the German economy within the euro area," Discussion Paper Series 1: Economic Studies 2005,33, Deutsche Bundesbank.
    373. Voss, G.M. & Willard, L.B., 2009. "Monetary policy and the exchange rate: Evidence from a two-country model," Journal of Macroeconomics, Elsevier, vol. 31(4), pages 708-720, December.
    374. Hirose, Yasuo, 2010. "Monetary policy and sunspot fluctuation in the U.S. and the Euro area," MPRA Paper 33693, University Library of Munich, Germany.
    375. Alexander Kriwoluzky & Christian A. Stoltenberg, 2015. "Monetary Policy and the Transaction Role of Money in the US," Economic Journal, Royal Economic Society, vol. 125(587), pages 1452-1473, September.
    376. Chotikapanich, Duangkamon & Griffiths, William E., 1998. "Carnarvon Gorge: a comment on the sensitivity of consumer surplus estimation," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 42(3), pages 1-13.
    377. Alexander W. Richter & Nathaniel A. Throckmorton, 2016. "Are nonlinear methods necessary at the zero lower bound?," Working Papers 1606, Federal Reserve Bank of Dallas.
    378. Angelia L. Grant, 2017. "The Early Millennium Slowdown: Replicating the Peersman (2005) Results," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 224-232, January.
    379. Gallic, Ewen & Vermandel, Gauthier, 2017. "Weather Shocks, Climate Change and Business Cycles," MPRA Paper 81230, University Library of Munich, Germany.
    380. Valeriane Jokhadze & Wolfgang M. Schmidt, 2020. "Measuring Model Risk In Financial Risk Management And Pricing," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 23(02), pages 1-37, April.
    381. Carlos Carvalho & Niels Arne Dam & Jae Won Lee, 2020. "The Cross-Sectional Distribution of Price Stickiness Implied by Aggregate Data," The Review of Economics and Statistics, MIT Press, vol. 102(1), pages 162-179, March.
    382. Lhuissier, Stéphane, 2017. "Financial intermediaries’ instability and euro area macroeconomic dynamics," European Economic Review, Elsevier, vol. 98(C), pages 49-72.
    383. Xibin Zhang & Maxwell L. King, 2013. "Gaussian kernel GARCH models," Monash Econometrics and Business Statistics Working Papers 19/13, Monash University, Department of Econometrics and Business Statistics.
    384. Vasco Gabriel & Paul Levine & Christopher Spencer & Bo Yang, 2008. "On the (ir)relevance of direct supply-side effects of monetary policy," School of Economics Discussion Papers 0408, School of Economics, University of Surrey.
    385. Filippeli, Thomai & Harrison, Richard & Theodoridis, Konstantinos, 2020. "DSGE-based priors for BVARs and quasi-Bayesian DSGE estimation," Econometrics and Statistics, Elsevier, vol. 16(C), pages 1-27.
    386. Pereira de Souza, Marcus Vinicius & Souza, Reinaldo C. & Pessanha, José Francisco M. & da Costa Oliveira, Carlos Henrique & Diallo, Madiagne, 2014. "An application of data envelopment analysis to evaluate the efficiency level of the operational cost of Brazilian electricity distribution utilities," Socio-Economic Planning Sciences, Elsevier, vol. 48(3), pages 169-174.
    387. Hürtgen, Patrick, 2011. "Consumer Misperceptions, Uncertain Fundamentals, and the Business Cycle," Bonn Econ Discussion Papers 10/2011, University of Bonn, Bonn Graduate School of Economics (BGSE).
    388. Fang‐Shuo Chang & Shiu‐Sheng Chen & Po‐Yuan Wang, 2020. "Politics and the UK's monetary policy," Scottish Journal of Political Economy, Scottish Economic Society, vol. 67(5), pages 486-522, November.
    389. Christopher A. Sims & Tao Zha, 2005. "Were There Regime Switches in U.S. Monetary Policy?," Working Papers 92, Princeton University, Department of Economics, Center for Economic Policy Studies..
    390. Castelnuovo, Efrem, 2009. "Testing the structural interpretation of the price puzzle with a cost channel model," Bank of Finland Research Discussion Papers 20/2009, Bank of Finland.
    391. Marco Vega, 2004. "Policy Makers Priors and Inflation Density Forecasts," Econometrics 0403005, University Library of Munich, Germany.
    392. Leonardo Melosi, 2009. "A Likelihood Analysis of Models with Information Frictions," PIER Working Paper Archive 09-009, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    393. Javier García-Cicco, 2010. "Estimating Models for Monetary Policy Analysis in Emerging Countries," Working Papers Central Bank of Chile 561, Central Bank of Chile.
    394. Matthieu Droumaguet & Tomasz Wozniak, 2012. "Bayesian Testing of Granger Causality in Markov-Switching VARs," Economics Working Papers ECO2012/06, European University Institute.
    395. Gantert, Konstantin, 2022. "The Impact of Active Aggregate Demand on Utilization-Adjusted TFP," VfS Annual Conference 2022 (Basel): Big Data in Economics 264103, Verein für Socialpolitik / German Economic Association.
    396. Viktor Winschel, 2005. "Solving, Estimating and Selecting Nonlinear Dynamic Economic Models without the Curse of Dimensionality," GE, Growth, Math methods 0507014, University Library of Munich, Germany.
    397. Filippo Ferroni & Stefano Grassi & Miguel A. Leon-Ledesma, 2015. "Fundamental shock selection in DSGE models," Studies in Economics 1508, School of Economics, University of Kent.
    398. Xiaoshan Chen & Eric M. Leeper & Campbell B. Leith, 2020. "Strategic Interactions in U.S. Monetary and Fiscal Policies," NBER Working Papers 27540, National Bureau of Economic Research, Inc.
    399. Elton Beqiraj & Giovanni Di Bartolomeo & Marco Di Pietro & Carolina Serpieri, 2017. "Resilience, crisis contagion, and vulnerability in Central Europe and the Baltics," JRC Research Reports JRC109632, Joint Research Centre.
    400. Saijo, Hikaru, 2013. "Estimating DSGE models using seasonally adjusted and unadjusted data," Journal of Econometrics, Elsevier, vol. 173(1), pages 22-35.
    401. Zhang, Ren & Martínez-García, Enrique & Wynne, Mark A. & Grossman, Valerie, 2021. "Ties that bind: Estimating the natural rate of interest for small open economies," Journal of International Money and Finance, Elsevier, vol. 113(C).
    402. Han Shang, 2014. "Bayesian bandwidth estimation for a semi-functional partial linear regression model with unknown error density," Computational Statistics, Springer, vol. 29(3), pages 829-848, June.
    403. Ye Yang & Osman Dogan & Suleyman Taspinar & Fei Jin, 2023. "A Review of Cross-Sectional Matrix Exponential Spatial Models," Papers 2311.14813, arXiv.org.
    404. Yoosoon Chang & Fei Tan & Xin Wei, 2018. "State Space Models with Endogenous Regime Switching," CAEPR Working Papers 2018-012, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    405. Alban Moura & Olivier Pierrard, 2022. "How well do DSGE models with real estate and collateral constraints fit the data?," BCL working papers 168, Central Bank of Luxembourg.
    406. Gianni Amisano & Maria Letizia Giorgetti, 2013. "Entry Into Pharmaceutical Submarkets: A Bayesian Panel Probit Analysis," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(4), pages 667-701, June.
    407. Böhl, Gregor, 2022. "Ensemble MCMC sampling for robust Bayesian inference," IMFS Working Paper Series 177, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    408. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676, July.
    409. Daniel Fehrle, 2018. "Housing and the Business Cycle Revisited," Working Papers 178, Bavarian Graduate Program in Economics (BGPE).
    410. Gael M. Martin & David T. Frazier & Christian P. Robert, 2020. "Computing Bayes: Bayesian Computation from 1763 to the 21st Century," Monash Econometrics and Business Statistics Working Papers 14/20, Monash University, Department of Econometrics and Business Statistics.
    411. HOOGERHEIDE, Lennart F. & VAN DIJK, Herman K. & VAN OEST, Rutger D., 2007. "Simulation based Bayesian econometric inference: principles and some recent computational advances," LIDAM Discussion Papers CORE 2007015, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    412. Brownstone, David, 2001. "Discrete Choice Modeling for Transportation," University of California Transportation Center, Working Papers qt29v7d1pk, University of California Transportation Center.
    413. Chotikapanich, D. & Griffiths, W.E. & Rao, D.S.P., 2001. "Averaging Income Distributions," Department of Economics - Working Papers Series 798, The University of Melbourne.
    414. Shang, Han Lin, 2013. "Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density," Computational Statistics & Data Analysis, Elsevier, vol. 67(C), pages 185-198.
    415. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2020. "Uncertain Identification," CeMMAP working papers CWP33/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    416. Marco Di Pietro & Enrico Saltari, 2018. "Economic Fluctuations in the U.S. and Euro Area: Quantifying the Contribution of Technical Change," Southern Economic Journal, John Wiley & Sons, vol. 85(1), pages 203-216, July.
    417. Rabanal, Pau, 2007. "Does inflation increase after a monetary policy tightening? Answers based on an estimated DSGE model," Journal of Economic Dynamics and Control, Elsevier, vol. 31(3), pages 906-937, March.
    418. Hall, Jamie, 2012. "Consumption dynamics in general equilibrium," MPRA Paper 43933, University Library of Munich, Germany.
    419. Oleg Korenok & Bruce Mizrach, 2004. "The Microeconomics of Macroeconomic Asymmetries: Sectoral Driving Forces and Firm Level Characteristics," Computing in Economics and Finance 2004 266, Society for Computational Economics.
    420. Katayama, Munechika & Kim, Kwang Hwan, 2013. "The delayed effects of monetary shocks in a two-sector New Keynesian model," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 243-259.
    421. Hasumi, Ryo & Iibsoshi, Hirokuni & Nakamura, Daisuke, 2018. "Trends, Cycles and Lost Decades: Decomposition from a DSGE Model with Endogenous Growth," MPRA Paper 85521, University Library of Munich, Germany.
    422. David Ardia & Lennart Hoogerheide & Herman K. van Dijk, 2009. "To Bridge, to Warp or to Wrap? A Comparative Study of Monte Carlo Methods for Efficient Evaluation of Marginal Likelihoods," Tinbergen Institute Discussion Papers 09-017/4, Tinbergen Institute.
    423. Tsionas, Efthymios G. & Konstantakis, Konstantinos N. & Michaelides, Panayotis G., 2016. "Bayesian GVAR with k-endogenous dominants & input–output weights: Financial and trade channels in crisis transmission for BRICs," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 1-26.
    424. Villani, Mattias & Kohn, Robert & Nott, David J., 2012. "Generalized smooth finite mixtures," Journal of Econometrics, Elsevier, vol. 171(2), pages 121-133.
    425. Ana Maria Santacreu, 2005. "Reaction functions in a small open economy: What role for non-traded inflation?," Reserve Bank of New Zealand Discussion Paper Series DP2005/04, Reserve Bank of New Zealand.
    426. Michele Lenza & Giorgio E. Primiceri, 2022. "How to estimate a vector autoregression after March 2020," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(4), pages 688-699, June.
    427. King Yoong Lim & Shuonan Zhang, 2020. "Commodity Shocks and Optimal Fiscal Management of Resource Revenue in an Economy with State-owned Enterprises," NBS Discussion Papers in Economics 2020/02, Economics, Nottingham Business School, Nottingham Trent University.
    428. Stephen Millard & Eran Yashiv & Renato Faccini, 2012. "The New Keynesian Phillips Curve: the Role of Hiring and Investment Costs," 2012 Meeting Papers 556, Society for Economic Dynamics.
    429. Joao Ribeiro, 2019. "Inflación de alimentos en Perú: El rol de la política monetaria," Revista de Analisis Economico – Economic Analysis Review, Universidad Alberto Hurtado/School of Economics and Business, vol. 34(2), pages 81-98, October.
    430. Matthieu Droumaguet & Anders Warne & Tomasz Wozniak, 2015. "Granger Causality and Regime Inference in Bayesian Markov-Switching VARs," Department of Economics - Working Papers Series 1191, The University of Melbourne.
    431. Gardebroek, Cornelis & Jongeneel, Roelof A., 2004. "The Growth In Organic Agriculture: Temporary Shift Or Structural Change?," 2004 Annual meeting, August 1-4, Denver, CO 20074, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    432. Sanha Noh, 2020. "Posterior Inference on Parameters in a Nonlinear DSGE Model via Gaussian-Based Filters," Computational Economics, Springer;Society for Computational Economics, vol. 56(4), pages 795-841, December.
    433. Jian Ni & Kannan Srinivasan, 2015. "Matching in the Sourcing Market: A Structural Analysis of the Upstream Channel," Marketing Science, INFORMS, vol. 34(5), pages 722-738, September.
    434. Paap, R. & van Nierop, J.E.M. & van Heerde, H.J. & Wedel, M. & Franses, Ph.H.B.F. & Alsem, K.J., 2000. "Consideration sets, intentions and the inclusion of "Don't know" in a two-stage model for voter choice," Econometric Institute Research Papers EI 2000-33/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    435. Eran Yashiv & Renato Faccini, 2014. "Inflation Dynamics and Marginal Costs: the Crucial Role of Hiring and Investment Frictions," 2014 Meeting Papers 178, Society for Economic Dynamics.
    436. Catherine S. Forbes & Gael M. Martin & Jill Wright, 2007. "Inference for a Class of Stochastic Volatility Models Using Option and Spot Prices: Application of a Bivariate Kalman Filter," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 387-418.
    437. Liu, Ding & Sun, Weihong & Chang, Long, 2021. "Monetary–fiscal policy regime and macroeconomic dynamics in China," Economic Modelling, Elsevier, vol. 95(C), pages 121-135.
    438. Timo Baas & Marjan Aikimbaeva, 2016. "Macroeconomic Stability and the Single European Labor Market," EcoMod2016 9555, EcoMod.
    439. Best, Gabriela & Hur, Joonyoung, 2019. "Bad luck, bad policy, and learning? A Markov-switching approach to understanding postwar U.S. macroeconomic dynamics," European Economic Review, Elsevier, vol. 119(C), pages 55-78.
    440. Michaelis, Henrike & Watzka, Sebastian, 2014. "Are there Differences in the Effectiveness of Quantitative Easing in Japan over Time?," Discussion Papers in Economics 21087, University of Munich, Department of Economics.
    441. Drago Bergholt, 2014. "Foreign shocks in an estimated multi-sector model," Working Papers No 4/2014, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    442. Rangan Gupta & Rudi Steinbach, 2010. "Forecasting Key Macroeconomic Variables of the South African Economy: A Small Open Economy New Keynesian DSGE-VAR Model," Working Papers 201019, University of Pretoria, Department of Economics.
    443. Roland Straub & Günter Coenen, 2005. "Non-Ricardian Households and Fiscal Policy in an Estimated DSGE Model of the Euro Area," Computing in Economics and Finance 2005 102, Society for Computational Economics.
    444. Paul Levine & Joseph Pearlman & George Perendia, 2007. "Estimating DSGE Models under Partial Information," School of Economics Discussion Papers 1607, School of Economics, University of Surrey.
    445. Eric M. Leeper & Tao Zha, 2002. "Empirical analysis of policy interventions," Proceedings, Federal Reserve Bank of San Francisco, issue Mar.
    446. Marco Del Negro & Frank Schorfheide, 2002. "Priors from general equilibrium models for VARs," FRB Atlanta Working Paper 2002-14, Federal Reserve Bank of Atlanta.
    447. Zams, Bastian Muzbar, 2021. "Frictions and empirical fit in a DSGE model for Indonesia," Economic Modelling, Elsevier, vol. 99(C).
    448. Rahul Anand & Ding Ding & Mr. Volodymyr Tulin, 2014. "Food Inflation in India: The Role for Monetary Policy," IMF Working Papers 2014/178, International Monetary Fund.
    449. Marianna Riggi & Massimiliano Tancioni, 2008. "Nominal v. Real Wage Rigidities in New Keynesian Models with Hiring Costs," Working Papers in Public Economics 107, University of Rome La Sapienza, Department of Economics and Law.
    450. Richard Paap & Philip Hans Franses, 2000. "A dynamic multinomial probit model for brand choice with different long-run and short-run effects of marketing-mix variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 717-744.
    451. Takashi Kano, 2021. "Exchange Rates and Fundamentals: A General Equilibrium Exploration," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(1), pages 95-117, February.
    452. Ratto M. & Roeger W. & in’t Veld J. & Girardi R., 2005. "An estimated new Keynesian dynamic stochastic general equilibrium model of the Euro area," Macroeconomics 0503002, University Library of Munich, Germany.
    453. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2010. "Forecasting with DSGE models," Working Paper Series 1185, European Central Bank.
    454. Georgiana-Alina Ionita, 2016. "A Bayesian Approach for the Analysis of Macroeconomic Dynamic in Case of Emerging Countries-Monetary and Fiscal Policy Model," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 12(5), pages 51-69, OCTOBER.
    455. Barrail, Zulma, 2020. "Business cycle implications of rising household credit market participation in emerging countries," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    456. Alexander Rathke & Samad Sarferaz, 2014. "Malthus and the Industrial Revolution," KOF Working papers 14-351, KOF Swiss Economic Institute, ETH Zurich.
    457. Rossana Merola, 2009. "A bayesian estimation of a DSGE model with financial frictions," CEIS Research Paper 149, Tor Vergata University, CEIS, revised 01 Oct 2009.
    458. Ma, Yong, 2016. "Nonlinear monetary policy and macroeconomic stabilization in emerging market economies: Evidence from China," Economic Systems, Elsevier, vol. 40(3), pages 461-480.
    459. Kegiang Hou & Alok Johri, 2013. "Intangible Capital and the Excess Volatility of Aggregate Profits," Department of Economics Working Papers 2013-04, McMaster University.
    460. Satoshi Tezuka & Yoichi Matsubayashi, 2018. "Credit Spread, Financial Market and Real Activities under Financial Instability: Empirical Evidence with MS-SBVAR," Discussion Papers 1812, Graduate School of Economics, Kobe University.
    461. Ulrich Gunter, 2019. "Estimating and forecasting with a two-country DSGE model of the Euro area and the USA: the merits of diverging interest-rate rules," Empirical Economics, Springer, vol. 56(4), pages 1283-1323, April.
    462. Akihiko Ikeda, 2020. "Learning-by-doing and business cycles in emerging economies," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 156(3), pages 611-631, August.
    463. Hur, Joonyoung & Lee, Kang Koo, 2017. "Fiscal financing and the efficacy of fiscal policy in Korea: An empirical assessment with comparison to the U.S. evidence," Economic Modelling, Elsevier, vol. 64(C), pages 473-486.
    464. Frank Schorfheide & Francis X. Diebold & Marco Del Negro, 2008. "Priors from Frequency-Domain Dummy Observations," 2008 Meeting Papers 310, Society for Economic Dynamics.
    465. Gregor Bäurle & Tobias Menz, 2008. "Monetary Policy in a Small Open Economy Model: A DSGE-VAR Approach for Switzerland," Working Papers 08.03, Swiss National Bank, Study Center Gerzensee.
    466. Chauvet, Marcelle & Potter, Simon, 2010. "Business cycle monitoring with structural changes," International Journal of Forecasting, Elsevier, vol. 26(4), pages 777-793, October.
    467. Mr. Nizar Jouini & Mr. Nooman Rebei, 2013. "The Welfare Implications of Services Liberalization in a Developing Country: Evidence from Tunisia," IMF Working Papers 2013/110, International Monetary Fund.
    468. Yi-Hua Wu & Chih-Chin Ho & Eric S. Lin, 2017. "Measuring the Impact of Military Spending: How Far Does a DSGE Model Deviate from Reality?," Defence and Peace Economics, Taylor & Francis Journals, vol. 28(5), pages 585-608, September.
    469. Markus Kirchner & Malte Rieth, 2010. "Sovereign Risk and Macroeconomic Fluctuations in an Emerging Market Economy," Tinbergen Institute Discussion Papers 10-100/2, Tinbergen Institute.
    470. Emmanuel C. Mamatzakis & Steven Ongena & Mike G. Tsionas, 2023. "The response of household debt to COVID-19 using a neural networks VAR in OECD," Empirical Economics, Springer, vol. 65(1), pages 65-91, July.
    471. Y. K. Tse & Xibin Zhang & Jun Yu, 2004. "Estimation of hyperbolic diffusion using the Markov chain Monte Carlo method," Quantitative Finance, Taylor & Francis Journals, vol. 4(2), pages 158-169.
    472. Yasuo Hirose & Saori Naganuma, 2010. "Structural Estimation Of The Output Gap: A Bayesian Dsge Approach," Economic Inquiry, Western Economic Association International, vol. 48(4), pages 864-879, October.
    473. Stéphane Lhuissier, 2015. "The Regime-switching volatility of Euro Area Business Cycles," Working Papers 2015-22, CEPII research center.
    474. Pelin Ilbas, 2008. "Estimation of monetary policy preferences in a forward-looking model : a Bayesian approach," Working Paper Research 129, National Bank of Belgium.
    475. Jesus Fernandez-Villaverde & Juan F. Rubio-Ramirez, 2004. "Estimating Nonlinear Dynamic Equilibrium economies: A Likelihood Approach," PIER Working Paper Archive 04-001, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    476. Zoltán M. Jakab & Balázs Világi, 2008. "An estimated DSGE model of the Hungarian economy," MNB Working Papers 2008/9, Magyar Nemzeti Bank (Central Bank of Hungary).
    477. Virginia Queijo, 2005. "Bayesian Estimation of a DSGE Model with Financial Frictions for the U.S. and the Euro Area," Computing in Economics and Finance 2005 306, Society for Computational Economics.
    478. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2013. "Predictive likelihood comparisons with DSGE and DSGE-VAR models," Working Paper Series 1536, European Central Bank.
    479. Hirose, Yasuo, 2007. "Sunspot fluctuations ulnder zero nominal interest rates," Economics Letters, Elsevier, vol. 97(1), pages 39-45, October.
    480. Iiboshi, Hirokuni, 2016. "A multiple DSGE-VAR approach: Priors from a combination of DSGE models and evidence from Japan," Japan and the World Economy, Elsevier, vol. 40(C), pages 1-8.
    481. Yuko Onishi & Yasuhiro Omori, 2014. "Bayesian Estimation of Entry Games with Multiple Players and Multiple Equilibria," CIRJE F-Series CIRJE-F-943, CIRJE, Faculty of Economics, University of Tokyo.
    482. Daniel F. Waggoner & Hongwei Wu & Tao Zha, 2014. "The Dynamic Striated Metropolis-Hastings Sampler for High-Dimensional Models," FRB Atlanta Working Paper 2014-21, Federal Reserve Bank of Atlanta.
    483. Lewis, Vivien & Villa, Stefania & Wolters, Maik H., 2019. "Labor productivity, effort and the euro area business cycle," Discussion Papers 44/2019, Deutsche Bundesbank.
    484. Klaeffling, Matt, 2003. "Macroeconomic modelling of monetary policy," Working Paper Series 257, European Central Bank.
    485. Riccardo Cristadoro & Andrea Gerali & Stefano Neri & Massimiliano Pisani, 2006. "Nominal Rigidities in an Estimated Two Country," Computing in Economics and Finance 2006 162, Society for Computational Economics.
    486. Lennart F. Hoogerheide & Johan F. Kaashoek, 2004. "Functional Approximations to Likelihoods/Posterior Densities: A Neural Network Approach to Efficient Sampling," Computing in Economics and Finance 2004 74, Society for Computational Economics.
    487. Beqiraj, Elton & Di Bartolomeo, Giovanni & Di Pietro, Marco & Serpieri, Carolina, 2018. "Comparing Central Europe and the Baltic macro-economies: A Bayesian approach," EconStor Preprints 175242, ZBW - Leibniz Information Centre for Economics.
    488. Mike G. Tsionas & Dionisis Philippas & Constantin Zopounidis, 2023. "Exploring Uncertainty, Sensitivity and Robust Solutions in Mathematical Programming Through Bayesian Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 62(1), pages 205-227, June.
    489. Jiawei Chen, 2006. "Two-Sided Matching and Spread Determinants in the Loan Market," Working Papers 060702, University of California-Irvine, Department of Economics.
    490. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2021. "Bridging the Divide? Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP082021, School of Economics, University of Queensland, Australia.
    491. Mattias Villani, 2009. "Steady-state priors for vector autoregressions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(4), pages 630-650.

  17. John Geweke & Michael P. Keane, 1997. "An empirical analysis of income dynamics among men in the PSID: 1968-1989," Staff Report 233, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Javier Álvarez, 1999. "Dynamics and Seasonality in Quarterly Panel Data: An Analysis of Earnings Mobility in Spain," Working Papers wp1999_9914, CEMFI.
    2. Maury Gittleman & Mary Joyce, 1999. "Have family income mobility patterns changed?," Demography, Springer;Population Association of America (PAA), vol. 36(3), pages 299-314, August.
    3. H. D. Vinod & B. D. McCullough, 1999. "The Numerical Reliability of Econometric Software," Journal of Economic Literature, American Economic Association, vol. 37(2), pages 633-665, June.
    4. Shane T. Jensen & Stephen H. Shore, 2008. "Changes in the Distribution of Income Volatility," Papers 0808.1090, arXiv.org.
    5. Tom Krebs, 2003. "Growth and Welfare Effects of Business Cycles in Economies with Idiosyncratic Human Capital Risk," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 6(4), pages 846-868, October.

  18. John Geweke & Michael P. Keane, 1997. "Mixture of normals probit models," Staff Report 237, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2023. "Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP012023, School of Economics, University of Queensland, Australia.
    2. Christian Belzil & Marco Leonardi, 2007. "Can Risk Aversion Explain Schooling Attainments?: evidence from Italy," Post-Print halshs-00201351, HAL.
    3. Belzil, Christian, 2007. "Testing the Specification of the Mincer Wage Equation," IZA Discussion Papers 2650, Institute of Labor Economics (IZA).
    4. Partha Deb & Karen Smith Conway, 2002. "Is Prenatal Care Really Ineffective? Or, is the 'Devil' in the Distribution?," Economics Working Paper Archive at Hunter College 02/2, Hunter College Department of Economics.
    5. Kassandra Fronczyk & Athanasios Kottas, 2014. "A Bayesian approach to the analysis of quantal bioassay studies using nonparametric mixture models," Biometrics, The International Biometric Society, vol. 70(1), pages 95-102, March.
    6. Koop, Gary & Poirier, Dale J., 2004. "Bayesian variants of some classical semiparametric regression techniques," Journal of Econometrics, Elsevier, vol. 123(2), pages 259-282, December.
    7. Dae-Yong Ahn & Jason A. Duan & Carl F. Mela, 2011. "An Equilibrium Model of User Generated Content," Working Papers 11-13, NET Institute, revised Dec 2011.
    8. Gary Koop, 2001. "Modeling the Evolution of Distributions: An Application to Major League Baseball," Edinburgh School of Economics Discussion Paper Series 71, Edinburgh School of Economics, University of Edinburgh.
    9. Brodaty, Thomas & Gary-Bobo, Robert J. & Prieto, Ana, 2014. "Do risk aversion and wages explain educational choices?," Journal of Public Economics, Elsevier, vol. 117(C), pages 125-148.
    10. John Geweke, 1998. "Using simulation methods for Bayesian econometric models: inference, development, and communication," Staff Report 249, Federal Reserve Bank of Minneapolis.
    11. Gianni Amisano & Maria Letizia Giorgetti, 2005. "Entry in Pharmaceutical submarkets: A Bayesian Panel Probit Approach," Working Papers ubs0511, University of Brescia, Department of Economics.
    12. Partha Deb & Ann M. Holmes, 2000. "Estimates of use and costs of behavioural health care: a comparison of standard and finite mixture models," Health Economics, John Wiley & Sons, Ltd., vol. 9(6), pages 475-489, September.
    13. Vincenzo Atella & Francesco Brindisi & Partha Deb & Furio C. Rosati, 2003. "Determinants of Access to Physician Services in Italy: A Latent Class Seemingly Unrelated Probit Approach," CEIS Research Paper 36, Tor Vergata University, CEIS.
    14. David L. Sjoquist & Mary Beth Walker & Sally Wallace, 2005. "Estimating Differential Responses to Local Fiscal Conditions: A Mixture Model Analysis," Public Finance Review, , vol. 33(1), pages 36-61, January.
    15. Jorge E. Arana & Carmelo J. Leon, 2004. "Baysian Flexible Mixture Distribution Modelling of Dichotomous Choice Contingent Valuation with Heterogeneity," Econometric Society 2004 North American Summer Meetings 568, Econometric Society.
    16. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54.
    17. Deb, Partha & Trivedi, Pravin K., 2002. "The structure of demand for health care: latent class versus two-part models," Journal of Health Economics, Elsevier, vol. 21(4), pages 601-625, July.
    18. Nikola A. Tarashev & Haibin Zhu, 2006. "The pricing of portfolio credit risk," BIS Working Papers 214, Bank for International Settlements.
    19. Arana, Jorge E. & Leon, Carmelo J., 2005. "Flexible mixture distribution modeling of dichotomous choice contingent valuation with heterogenity," Journal of Environmental Economics and Management, Elsevier, vol. 50(1), pages 170-188, July.
    20. Fruhwirth-Schnatter, Sylvia & Fruhwirth, Rudolf, 2007. "Auxiliary mixture sampling with applications to logistic models," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3509-3528, April.
    21. Deb, Partha & TRIVEDI, PRAVIN K, 1998. "Moment-based Estimation of Latent Class Models of Event Counts," University of California at San Diego, Economics Working Paper Series qt6r282286, Department of Economics, UC San Diego.
    22. Caffo, Brian & An, Ming-Wen & Rohde, Charles, 2007. "Flexible random intercept models for binary outcomes using mixtures of normals," Computational Statistics & Data Analysis, Elsevier, vol. 51(11), pages 5220-5235, July.
    23. Geweke, John, 2003. "Econometric issues in using the AHEAD panel," Journal of Econometrics, Elsevier, vol. 112(1), pages 115-120, January.
    24. Houser, Daniel & Bechara, Antoine & Keane, Michael & McCabe, Kevin & Smith, Vernon, 2005. "Identifying individual differences: An algorithm with application to Phineas Gage," Games and Economic Behavior, Elsevier, vol. 52(2), pages 373-385, August.
    25. Bansal, Prateek & Hurtubia, Ricardo & Tirachini, Alejandro & Daziano, Ricardo A., 2019. "Flexible estimates of heterogeneity in crowding valuation in the New York City subway," Journal of choice modelling, Elsevier, vol. 31(C), pages 124-140.
    26. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2021. "Bridging the Divide? Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP082021, School of Economics, University of Queensland, Australia.
    27. Michael Keane & Nada Wasi, 2013. "Comparing Alternative Models Of Heterogeneity In Consumer Choice Behavior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(6), pages 1018-1045, September.

  19. John Geweke & Guofu Zhou, 1996. "Measuring the Pricing Error of the Arbitrage Pricing Theory," CEMA Working Papers 276, China Economics and Management Academy, Central University of Finance and Economics.

    Cited by:

    1. Terrance Savitsky & Daniel McCaffrey, 2014. "Bayesian Hierarchical Multivariate Formulation with Factor Analysis for Nested Ordinal Data," Psychometrika, Springer;The Psychometric Society, vol. 79(2), pages 275-302, April.
    2. Weder, Mark & Doko Tchatokay, Firmin & Groshenny, Nicolas & Haque, Qazi, 2016. "Monetary Policy and Indeterminacy after the 2001 Slump," VfS Annual Conference 2016 (Augsburg): Demographic Change 145557, Verein für Socialpolitik / German Economic Association.
    3. Mumtaz, Haroon & Theodoridis, Konstantinos, 2017. "Common and country specific economic uncertainty," Journal of International Economics, Elsevier, vol. 105(C), pages 205-216.
    4. KiHoon Jimmy Hong & Bin Peng & Xiaohui Zhang, 2015. "Capturing the Impact of Unobserved Sector-Wide Shocks on Stock Returns with Panel Data Model," The Economic Record, The Economic Society of Australia, vol. 91(295), pages 495-508, December.
    5. Zhou, Guofu, 1999. "Security factors as linear combinations of economic variables," Journal of Financial Markets, Elsevier, vol. 2(4), pages 403-432, November.
    6. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2018. "Dissecting the 2007–2009 Real Estate Market Bust: Systematic Pricing Correction or Just a Housing Fad?," Journal of Financial Econometrics, Oxford University Press, vol. 16(1), pages 34-62.
    7. Mr. Maxym Kryshko, 2011. "Data-Rich DSGE and Dynamic Factor Models," IMF Working Papers 2011/216, International Monetary Fund.
    8. Siem Jan Koopman & Geert Mesters, 2014. "Empirical Bayes Methods for Dynamic Factor Models," Tinbergen Institute Discussion Papers 14-061/III, Tinbergen Institute.
    9. László Békési & Lorant Kaszab & Szabolcs Szentmihályi, 2017. "The EAGLE model for Hungary - a global perspective," MNB Working Papers 2017/7, Magyar Nemzeti Bank (Central Bank of Hungary).
    10. Nobuhiko Terui & Shohei Hasegawa, 2013. "Modeling Preference Change through Brand Satiation," TMARG Discussion Papers 112, Graduate School of Economics and Management, Tohoku University.
    11. Yong Li & Jun Yu, 2011. "Bayesian Hypothesis Testing in Latent Variable Models," Working Papers 11-2011, Singapore Management University, School of Economics.
    12. Kim, Hea-Jung & Choi, Taeryon & Jo, Seongil, 2016. "Bayesian factor analysis with uncertain functional constraints about factor loadings," Journal of Multivariate Analysis, Elsevier, vol. 144(C), pages 110-128.
    13. Ando, Tomohiro & Bai, Jushan & Li, Kunpeng, 2022. "Bayesian and maximum likelihood analysis of large-scale panel choice models with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 230(1), pages 20-38.
    14. Geert Mesters & Siem Jan Koopman & Marius Ooms, 2011. "Monte Carlo Maximum Likelihood Estimation for Generalized Long-Memory Time Series Models," Tinbergen Institute Discussion Papers 11-090/4, Tinbergen Institute.
    15. Robert Kohn & Rachida Ouysse, 2007. "Bayesian Variable Selection of Risk Factors in the APT Model," Discussion Papers 2007-32, School of Economics, The University of New South Wales.
    16. Bork, Lasse, 2009. "Estimating US Monetary Policy Shocks Using a Factor-Augmented Vector Autoregression: An EM Algorithm Approach," Finance Research Group Working Papers F-2009-03, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    17. Tsionas, Mike, 2012. "Simple techniques for likelihood analysis of univariate and multivariate stable distributions: with extensions to multivariate stochastic volatility and dynamic factor models," MPRA Paper 40966, University Library of Munich, Germany, revised 20 Aug 2012.
    18. James H. Stock & Mark W. Watson, 1998. "Diffusion Indexes," NBER Working Papers 6702, National Bureau of Economic Research, Inc.
    19. Christensen, Bent Jesper & van der Wel, Michel, 2019. "An asset pricing approach to testing general term structure models," Journal of Financial Economics, Elsevier, vol. 134(1), pages 165-191.
    20. Simon Beyeler & Sylvia Kaufmann, 2016. "Factor augmented VAR revisited - A sparse dynamic factor model approach," Working Papers 16.08, Swiss National Bank, Study Center Gerzensee.
    21. Conti, Gabriella & Frühwirth-Schnatter, Sylvia & Heckman, James J. & Piatek, Rémi, 2014. "Bayesian Exploratory Factor Analysis," IZA Discussion Papers 8338, Institute of Labor Economics (IZA).
    22. Manuel Ammann & Michael Verhofen, 2008. "Testing Conditional Asset Pricing Models Using a Markov Chain Monte Carlo Approach," European Financial Management, European Financial Management Association, vol. 14(3), pages 391-418, June.
    23. Massimo Guidolin & Francesco Ravazzolo & Andrea Tortora, 2014. "Myths and Facts about the Alleged Over-Pricing of U.S. Real Estate," The Journal of Real Estate Finance and Economics, Springer, vol. 49(4), pages 477-523, November.
    24. Joshua Chan & Eric Eisenstat & Xuewen Yu, 2022. "Large Bayesian VARs with Factor Stochastic Volatility: Identification, Order Invariance and Structural Analysis," Papers 2207.03988, arXiv.org.
    25. Pantelis Samartsidis & Shaun R. Seaman & Silvia Montagna & André Charlett & Matthew Hickman & Daniela De Angelis, 2020. "A Bayesian multivariate factor analysis model for evaluating an intervention by using observational time series data on multiple outcomes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1437-1459, October.
    26. Nalan Basturk & Agnieszka Borowska & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2018. "Forecast Density Combinations of Dynamic Models and Data Driven Portfolio Strategies," Working Paper 2018/10, Norges Bank.
    27. Massimo Guidolin & Francesco Ravazzolo & Andrea Donato Tortora, 2011. "Myths and facts about the alleged over-pricing of U.S. real estate. Evidence from multi-factor asset pricing models of REIT returns," Working Paper 2011/19, Norges Bank.
    28. Leung, Dennis & Drton, Mathias, 2016. "Order-invariant prior specification in Bayesian factor analysis," Statistics & Probability Letters, Elsevier, vol. 111(C), pages 60-66.
    29. Celso Brunetti & Jeffrey H. Harris & Shawn Mankad, 2018. "Bank Holdings and Systemic Risk," Finance and Economics Discussion Series 2018-063, Board of Governors of the Federal Reserve System (U.S.).
    30. Aßmann, Christian & Boysen-Hogrefe, Jens & Pape, Markus, 2016. "Bayesian analysis of static and dynamic factor models: An ex-post approach towards the rotation problem," Journal of Econometrics, Elsevier, vol. 192(1), pages 190-206.
    31. Nobuhiko Terui & Shohei Hasegawa & Greg M. Allenby, 2015. "A Threshold Model for Discontinuous Preference Change and Satiation," TMARG Discussion Papers 122, Graduate School of Economics and Management, Tohoku University.
    32. Mohamed Saidane & Christian Lavergne, 2007. "A structured variational learning approach for switching latent factor models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 91(3), pages 245-268, October.
    33. Karen Miranda & Pilar Poncela & Esther Ruiz, 2022. "Dynamic factor models: Does the specification matter?," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 13(1), pages 397-428, May.
    34. Mirko Wiederholt & Emanuel Moench & Bartosz Maćkowiak, 2009. "Sectoral Price Data and Models of Price Setting," 2009 Meeting Papers 666, Society for Economic Dynamics.
    35. Aßmann, Christian & Boysen-Hogrefe, Jens & Pape, Markus, 2014. "Bayesian analysis of dynamic factor models: An ex-post approach towards the rotation problem," Kiel Working Papers 1902, Kiel Institute for the World Economy (IfW Kiel).
    36. Roberta De Vito & Ruggero Bellio & Lorenzo Trippa & Giovanni Parmigiani, 2019. "Multi‐study factor analysis," Biometrics, The International Biometric Society, vol. 75(1), pages 337-346, March.
    37. Chadi S. Abdallah & William D. Lastrapes, 2013. "Evidence on the Relationship between Housing and Consumption in the United States: A State-Level Analysis," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(4), pages 559-590, June.
    38. Tu, Jun & Zhou, Guofu, 2004. "Data-generating process uncertainty: What difference does it make in portfolio decisions?," Journal of Financial Economics, Elsevier, vol. 72(2), pages 385-421, May.
    39. Rodriguez, Diego & Gonzalez, Andres & Fernandez, Andres, 2015. "Sharing a Ride on the Commodities Roller Coaster: Common Factors in Business Cycles of Emerging Economies," IDB Publications (Working Papers) 7382, Inter-American Development Bank.
    40. Nagayasu, Jun, 2015. "Global and country-specific factors in real effective exchange rates," MPRA Paper 64217, University Library of Munich, Germany.
    41. Tsung-I Lin & I-An Chen & Wan-Lun Wang, 2023. "A robust factor analysis model based on the canonical fundamental skew-t distribution," Statistical Papers, Springer, vol. 64(2), pages 367-393, April.
    42. Manfred M. Fischer & Niko Hauzenberger & Florian Huber & Michael Pfarrhofer, 2023. "General Bayesian time‐varying parameter vector autoregressions for modeling government bond yields," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 69-87, January.
    43. Eric Jacquier & Nicholas G. Polson & Peter E. Rossi, 1999. "Stochastic Volatility: Univariate and Multivariate Extensions," CIRANO Working Papers 99s-26, CIRANO.
    44. Edward P. Herbst & Fabian Winkler, 2021. "The Factor Structure of Disagreement," Finance and Economics Discussion Series 2021-046, Board of Governors of the Federal Reserve System (U.S.).
    45. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    46. Xiaoyi Han & Lung-Fei Lee, 2016. "Bayesian Analysis of Spatial Panel Autoregressive Models With Time-Varying Endogenous Spatial Weight Matrices, Common Factors, and Random Coefficients," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(4), pages 642-660, October.
    47. Calzolari, Giorgio & Halbleib, Roxana, 2018. "Estimating stable latent factor models by indirect inference," Journal of Econometrics, Elsevier, vol. 205(1), pages 280-301.
    48. Cristina Fuentes-Albero & Leonardo Melosi, 2011. "Methods for Computing Marginal Data Densities from the Gibbs Output," Departmental Working Papers 201131, Rutgers University, Department of Economics.
    49. Simon Beyeler & Sylvia Kaufmann, 2021. "Reduced‐form factor augmented VAR—Exploiting sparsity to include meaningful factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 989-1012, November.
    50. Chadwick, Meltem, 2010. "Performance of Bayesian Latent Factor Models in Measuring Pricing Errors," MPRA Paper 79060, University Library of Munich, Germany.
    51. Filippo Ferroni & Benjamin Klaus, 2015. "Euro Area business cycles in turbulent times: convergence or decoupling?," Applied Economics, Taylor & Francis Journals, vol. 47(34-35), pages 3791-3815, July.
    52. Roberto Tatiwa Ferreira & Herman Bierens & Ivan Castelar, 2005. "Forecasting Quarterly Brazilian GDP Growth Rate With Linear and NonLinear Diffusion Index Models," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 6(3), pages 261-292.
    53. Kim Sawyer & André Gygax & Matthew Hazledine, 2010. "Pricing errors and estimates of risk premia in factor models," Annals of Finance, Springer, vol. 6(3), pages 391-403, July.
    54. Necati Tekatli, 2007. "Generalized Factor Models: A Bayesian Approach," UFAE and IAE Working Papers 730.08, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    55. Shinichiro Shirota & Yasuhiro Omori & Hedibert. F. Lopes & Haixiang Piao, 2016. "Cholesky Realized Stochastic Volatility Model," CIRJE F-Series CIRJE-F-1019, CIRJE, Faculty of Economics, University of Tokyo.
    56. Cederburg, Scott & O’Doherty, Michael S., 2015. "Asset-pricing anomalies at the firm level," Journal of Econometrics, Elsevier, vol. 186(1), pages 113-128.
    57. Mumtaz, Haroon & Surico, Paolo, 2008. "Evolving International Inflation Dynamics: Evidence from a Time-varying Dynamic Factor Model," CEPR Discussion Papers 6767, C.E.P.R. Discussion Papers.
    58. Christopher S. Jones & Jay Shanken, 2002. "Mutual Fund Performance with Learning Across Funds," NBER Working Papers 9392, National Bureau of Economic Research, Inc.
    59. Guohua Feng & Bin Peng & Xiaohui Zhang, 2017. "Productivity and efficiency at bank holding companies in the U.S.: a time-varying heterogeneity approach," Journal of Productivity Analysis, Springer, vol. 48(2), pages 179-192, December.
    60. Nagayasu, Jun, 2016. "Commonality and Heterogeneity in Real Effective Exchange Rates: Evidence from Advanced and Developing Countries," MPRA Paper 70078, University Library of Munich, Germany.
    61. Gabriele Fiorentini & Enrique Sentana & Neil Shephard, 2002. "Likelihood-based estimation of latent generalised ARCH structures," Economics Papers 2002-W19, Economics Group, Nuffield College, University of Oxford.
    62. Zura Kakushadze & Willie Yu, 2018. "Betas, Benchmarks and Beating the Market," Papers 1807.09919, arXiv.org.
    63. Charles S. Bos & Ronald J. Mahieu & Herman K. Van Dijk, 2000. "Daily exchange rate behaviour and hedging of currency risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 671-696.
    64. Sun Jiehuan & Warren Joshua L. & Zhao Hongyu, 2017. "A Bayesian semiparametric factor analysis model for subtype identification," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 16(2), pages 145-158, April.
    65. Doron Avramov & Guofu Zhou, 2010. "Bayesian Portfolio Analysis," Annual Review of Financial Economics, Annual Reviews, vol. 2(1), pages 25-47, December.
    66. Ong, Victor M.-H. & Nott, David J. & Tran, Minh-Ngoc & Sisson, Scott A. & Drovandi, Christopher C., 2018. "Likelihood-free inference in high dimensions with synthetic likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 271-291.
    67. Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2019. "An automated prior robustness analysis in Bayesian model comparison," CAMA Working Papers 2019-45, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    68. Elena A. Erosheva & S. McKay Curtis, 2017. "Dealing with Reflection Invariance in Bayesian Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 82(2), pages 295-307, June.
    69. Sakae Oya & Teruo Nakatsuma, 2021. "Identification in Bayesian Estimation of the Skewness Matrix in a Multivariate Skew-Elliptical Distribution," Papers 2108.04019, arXiv.org.
    70. Javier Maldonado & Esther Ruiz, 2021. "Accurate Confidence Regions for Principal Components Factors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(6), pages 1432-1453, December.
    71. Ouysse, Rachida & Kohn, Robert, 2010. "Bayesian variable selection and model averaging in the arbitrage pricing theory model," Computational Statistics & Data Analysis, Elsevier, vol. 54(12), pages 3249-3268, December.
    72. Haroon Mumtaz & Alberto Musso, 2021. "The Evolving Impact of Global, Region-Specific, and Country-Specific Uncertainty," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(2), pages 466-481, March.
    73. Sylvia Kaufmann & Christian Schumacher, 2013. "Bayesian estimation of sparse dynamic factor models with order-independent identification," Working Papers 13.04, Swiss National Bank, Study Center Gerzensee.
    74. Detlef Seese & Christof Weinhardt & Frank Schlottmann (ed.), 2008. "Handbook on Information Technology in Finance," International Handbooks on Information Systems, Springer, number 978-3-540-49487-4, December.
    75. Aßmann, Christian & Boysen-Hogrefe, Jens & Pape, Markus, 2012. "The directional identification problem in Bayesian factor analysis: An ex-post approach," Kiel Working Papers 1799, Kiel Institute for the World Economy (IfW Kiel).
    76. Joshua C.C. Chan & Angelia L. Grant, 2014. "Fast Computation of the Deviance Information Criterion for Latent Variable Models," CAMA Working Papers 2014-09, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    77. Gregor Kastner & Sylvia Fruhwirth-Schnatter & Hedibert Freitas Lopes, 2016. "Efficient Bayesian Inference for Multivariate Factor Stochastic Volatility Models," Papers 1602.08154, arXiv.org, revised Jul 2017.
    78. Necati Tekatli, 2010. "A Bayesian Generalized Factor Model with Comparative Analysis (Genellestirilmis Faktor Modellerinin Bayesyen Yaklasimi ve Karsilastirmali Analizi)," Working Papers 1018, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    79. Haroon Mumtaz & Paolo Surico, 2006. "Inflation Globalization and the Fall of Country Specific Fluctuations," Computing in Economics and Finance 2006 166, Society for Computational Economics.
    80. Chen, Hong-Yi & Lee, Alice C. & Lee, Cheng-Few, 2015. "Alternative errors-in-variables models and their applications in finance research," The Quarterly Review of Economics and Finance, Elsevier, vol. 58(C), pages 213-227.
    81. Kohn, Robert & Nguyen, Nghia & Nott, David & Tran, Minh-Ngoc, 2017. "Random Effects Models with Deep Neural Network Basis Functions: Methodology and Computation," Working Papers 2123/17877, University of Sydney Business School, Discipline of Business Analytics.
    82. Tibor Szendrei & Katalin Varga, 2020. "FISS – A Factor-based Index of Systemic Stress in the Financial System," Russian Journal of Money and Finance, Bank of Russia, vol. 79(1), pages 3-34, March.
    83. Wolfgang Reichmuth & Samad Sarferaz, 2008. "Bayesian Demographic Modeling and Forecasting: An Application to U.S. Mortality," SFB 649 Discussion Papers SFB649DP2008-052, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    84. Kaufmann, Sylvia & Schumacher, Christian, 2019. "Bayesian estimation of sparse dynamic factor models with order-independent and ex-post mode identification," Journal of Econometrics, Elsevier, vol. 210(1), pages 116-134.
    85. Ando, Tomohiro, 2009. "Bayesian factor analysis with fat-tailed factors and its exact marginal likelihood," Journal of Multivariate Analysis, Elsevier, vol. 100(8), pages 1717-1726, September.
    86. Harding, Matthew C., 2008. "Explaining the single factor bias of arbitrage pricing models in finite samples," Economics Letters, Elsevier, vol. 99(1), pages 85-88, April.
    87. Mário Jorge Mendonça & Cláudio Hamilton dos Santos & Thiago Guerrera Martins, 2009. "Aplicação de um Modelo Fatorial Dinâmico Para Previsão da Arrecadação Tributária no Brasil," Discussion Papers 1453, Instituto de Pesquisa Econômica Aplicada - IPEA.
    88. Gijsbert Suren & Guilherme Moura, 2012. "Heteroskedastic Dynamic Factor Models: A Monte Carlo Study," Economics Bulletin, AccessEcon, vol. 32(4), pages 2884-2898.
    89. Carel Peeters, 2012. "Rotational Uniqueness Conditions Under Oblique Factor Correlation Metric," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 288-292, April.
    90. Florian Eckert & Samad Sarferaz, 2019. "Agnostic Output Gap Estimation and Decomposition in Large Cross-Sections," KOF Working papers 19-467, KOF Swiss Economic Institute, ETH Zurich.
    91. Roger S. Zoh & Bani Mallick & Ivan Ivanov & Veera Baladandayuthapani & Ganiraju Manyam & Robert S. Chapkin & Johanna W. Lampe & Raymond J. Carroll, 2016. "PCAN: Probabilistic correlation analysis of two non‐normal data sets," Biometrics, The International Biometric Society, vol. 72(4), pages 1358-1368, December.
    92. Michel van der Wel & Sait R. Ozturk & Dick van Dijk, 2015. "Dynamic Factor Models for the Volatility Surface," CREATES Research Papers 2015-13, Department of Economics and Business Economics, Aarhus University.
    93. Gabriel Frahm, 0. "Arbitrage Pricing Theory In Ergodic Markets," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 21(05), pages 1-28.
    94. Chib, Siddhartha & Nardari, Federico & Shephard, Neil, 2006. "Analysis of high dimensional multivariate stochastic volatility models," Journal of Econometrics, Elsevier, vol. 134(2), pages 341-371, October.
    95. Necati Tekatli, 2010. "A New Core Inflation Indicator for Turkey (Turkiye Ekonomisi Icin Yeni Bir Cekirdek Enflasyon Gostergesi)," Working Papers 1019, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    96. Manfred M. Fischer & Niko Hauzenberger & Florian Huber & Michael Pfarrhofer, 2021. "General Bayesian time-varying parameter VARs for predicting government bond yields," Papers 2102.13393, arXiv.org.
    97. Brechmann, Eike C. & Joe, Harry, 2014. "Parsimonious parameterization of correlation matrices using truncated vines and factor analysis," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 233-251.
    98. Eller, Markus & Huber, Florian & Schuberth, Helene, 2018. "How Important are Global Factors for Understanding the Dynamics of International Capital Flows?," Working Papers in Economics 2018-2, University of Salzburg.
    99. KiHoon Jimmy Hong & Bin Peng & Xiaohui Zhang, 2014. "Capturing the Impact of Latent Industry-Wide Shocks with Dynamic Panel Model," Research Paper Series 347, Quantitative Finance Research Centre, University of Technology, Sydney.
    100. Veronika Ročková & Edward I. George, 2016. "Fast Bayesian Factor Analysis via Automatic Rotations to Sparsity," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1608-1622, October.
    101. Bai, Jushan & Li, Kunpeng, 2021. "Dynamic spatial panel data models with common shocks," Journal of Econometrics, Elsevier, vol. 224(1), pages 134-160.
    102. Bin Peng & Giovanni Forchini, 2014. "Consistent Estimation of Panel Data Models with a Multifactor Error Structure when the Cross Section Dimension is Large," Working Paper Series 20, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    103. Sylvia Fruhwirth-Schnatter & Darjus Hosszejni & Hedibert Freitas Lopes, 2023. "When it counts -- Econometric identification of the basic factor model based on GLT structures," Papers 2301.06354, arXiv.org.
    104. Geweke, John, 2003. "Econometric issues in using the AHEAD panel," Journal of Econometrics, Elsevier, vol. 112(1), pages 115-120, January.
    105. Zhou, Xiaocong & Nakajima, Jouchi & West, Mike, 2014. "Bayesian forecasting and portfolio decisions using dynamic dependent sparse factor models," International Journal of Forecasting, Elsevier, vol. 30(4), pages 963-980.
    106. Chu Zhang, 2009. "Testing the APT with the Maximum Sharpe Ratio of Extracted Factors," Management Science, INFORMS, vol. 55(7), pages 1255-1266, July.
    107. Ruben Loaiza-Maya & Didier Nibbering, 2020. "Scalable Bayesian estimation in the multinomial probit model," Papers 2007.13247, arXiv.org, revised Mar 2021.
    108. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2013. "Macroeconomic factors strike back: A Bayesian change-point model of time-varying risk exposures and premia in the U.S. cross-section," Working Paper 2013/19, Norges Bank.
    109. Fischer, Manfred M. & Hauzenberger, Niko & Huber, Florian & Pfarrhofer, Michael, 2022. "General Bayesian time-varying parameter VARs for modeling government bond yields," Working Papers in Regional Science 2021/01, WU Vienna University of Economics and Business.
    110. Sydney C. Ludvigson & Serena Ng, 2009. "A Factor Analysis of Bond Risk Premia," NBER Working Papers 15188, National Bureau of Economic Research, Inc.
    111. Philip A. White & Alan E. Gelfand, 2021. "Multivariate functional data modeling with time-varying clustering," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 30(3), pages 586-602, September.
    112. Crespo Cuaresma, Jesús & Huber, Florian & Onorante, Luca, 2020. "Fragility and the effect of international uncertainty shocks," Journal of International Money and Finance, Elsevier, vol. 108(C).
    113. Nalan Basturk & Stefano Grassi & Lennart Hoogerheide & Herman K. van Dijk, 2016. "Time-varying Combinations of Bayesian Dynamic Models and Equity Momentum Strategies," Tinbergen Institute Discussion Papers 16-099/III, Tinbergen Institute.
    114. Chaim, Pedro & Laurini, Márcio P., 2019. "Nonlinear dependence in cryptocurrency markets," The North American Journal of Economics and Finance, Elsevier, vol. 48(C), pages 32-47.
    115. Vitoratou, Silia & Ntzoufras, Ioannis & Moustaki, Irini, 2016. "Explaining the behavior of joint and marginal Monte Carlo estimators in latent variable models with independence assumptions," LSE Research Online Documents on Economics 57685, London School of Economics and Political Science, LSE Library.
    116. Michailidis, G., 2009. "Multivariate methods in examining macroeconomic variables effect on Greek stock market returns, 1997-2004," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 9(1).
    117. Wolfgang Reichmuth & Samad Sarferaz, 2008. "Modeling and Forecasting Age-Specific Mortality: A Bayesian Approach," SFB 649 Discussion Papers SFB649DP2008-052a, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

  20. John Geweke & Michael P. Keane, 1996. "Bayesian inference for dynamic choice models without the need for dynamic programming," Working Papers 564, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    2. Christian Belzil & Marco Leonardi, 2007. "Can Risk Aversion Explain Schooling Attainments?: evidence from Italy," Post-Print halshs-00201351, HAL.
    3. Belzil, Christian & Leonardi, Marco, 2007. "Risk Aversion and Schooling Decisions," IZA Discussion Papers 2994, Institute of Labor Economics (IZA).
    4. Andrew Ching & Susumu Imai & Neelam Jain, 2006. "Bayesian Estimation Of Dynamic Discrete Choice Models," Working Paper 1118, Economics Department, Queen's University.
    5. Hielke Buddelmeyer & Kenneth Troske, 2004. "Joint estimation of sequential labor force participation and fertility decisions using Markov chain Monte Carlo techniques," Econometric Society 2004 North American Winter Meetings 334, Econometric Society.
    6. ENGLE-WARNICK, Jim & McCAUSLAND, William J. & MILLER, John H., 2004. "The Ghost in the Machine: Inferring Machine-Based Strategies from Observed Behavior," Cahiers de recherche 15-2004, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    7. Susan Athey & Guido Imbens, 2006. "Discrete Choice Models with Multiple Unobserved Choice Characteristics," Levine's Bibliography 122247000000001040, UCLA Department of Economics.
    8. Daniel Houser & Kevin McCabe & Michael Keane & Antoine Bechara, 2003. "Heuristics Used By Humans With Prefrontal Cortex Damage: Toward An Empirical Model Of Phineas Gage," Experimental 0308002, University Library of Munich, Germany.
    9. Ching, Andrew, 2008. "Consumer Learning and Heterogeneity: Dynamics of Demand for Prescription Drugs after Patent Expiration," MPRA Paper 7265, University Library of Munich, Germany.
    10. Keane, Michael P. & Todd, Petra E. & Wolpin, Kenneth I., 2011. "The Structural Estimation of Behavioral Models: Discrete Choice Dynamic Programming Methods and Applications," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 4, pages 331-461, Elsevier.
    11. Houser, Daniel & Bechara, Antoine & Keane, Michael & McCabe, Kevin & Smith, Vernon, 2005. "Identifying individual differences: An algorithm with application to Phineas Gage," Games and Economic Behavior, Elsevier, vol. 52(2), pages 373-385, August.
    12. Troske, Kenneth & Voicu, Alexandru, 2009. "The Effect of Children on the Level of Labor Market Involvement of Married Women: What is the Role of Education?," IZA Discussion Papers 4074, Institute of Labor Economics (IZA).
    13. Stuart J. Fowler & Jennifer J. Wilgus, 2011. "An Estimatable DCDP Model of Search and Matching in Real Estate Markets," Working Papers 201105, Middle Tennessee State University, Department of Economics and Finance.
    14. Jim Engle-Warnick & Bradley Ruffle, 2006. "The Strategies Behind Their Actions: A Method To Infer Repeated-Game Strategies And An Application To Buyer Behavior," Departmental Working Papers 2005-04, McGill University, Department of Economics.

  21. John Geweke, 1996. "Simulation-based Bayesian inference for economic time series," Working Papers 570, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Tsionas, E.G., 2001. "Stochastic Frontier Models with Random Coefficients," Athens University of Economics and Business 130, Athens University of Economics and Business, Department of International and European Economic Studies.
    2. Tsionas, Efthymios G., 2001. "Euro-land: any good for the European South?," Journal of Policy Modeling, Elsevier, vol. 23(1), pages 67-81, January.
    3. Efthymios Tsionas, 2001. "Regional Convergence and Common, Stochastic Long-run Trends: A Re-examination of the US Regional Data," Regional Studies, Taylor & Francis Journals, vol. 35(8), pages 689-696.
    4. Efthymios Tsionas, 2003. "Inflation and Productivity in Europe: An Empirical Investigation," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 30(1), pages 39-62, March.

  22. John Geweke, 1995. "Posterior simulators in econometrics," Working Papers 555, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Paul Ruud, "undated". "Restricted Least Squares Subject to Monotonicity and Concavity Constraints," Working Papers _007, University of California at Berkeley, Econometrics Laboratory Software Archive.
    2. Mariolis Theodore & Konstantakis Konstantinos N. & Michaelides Panayotis G. & Tsionas Efthymios G., 2019. "A non-linear Keynesian Goodwin-type endogenous model of the cycle: Bayesian evidence for the USA," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 23(1), pages 1-16, February.
    3. Otrok, Christopher, 2001. "On measuring the welfare cost of business cycles," Journal of Monetary Economics, Elsevier, vol. 47(1), pages 61-92, February.
    4. Giovanni Di Bartolomeo & Lorenza Rossi & Massimiliano Tancioni, 2007. "Monetary Policy, Rule-of-Thumb Consumers and External Habits: An International Comparison," Working Papers 0727, University of Crete, Department of Economics.
    5. Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2013. "Parallel Sequential Monte Carlo for Efficient Density Combination: The Deco Matlab Toolbox," CREATES Research Papers 2013-09, Department of Economics and Business Economics, Aarhus University.
    6. Keisuke Hirano & Guido W. Imbens & Geert Ridder & Donald B. Rubin, 1998. "Combining Panel Data Sets with Attrition and Refreshment Samples," Tinbergen Institute Discussion Papers 98-033/4, Tinbergen Institute.
    7. John Geweke, 2016. "Sequentially Adaptive Bayesian Learning for a Nonlinear Model of the Secular and Cyclical Behavior of US Real GDP," Econometrics, MDPI, vol. 4(1), pages 1-23, March.
    8. Fernández, C. & Osiewalski, J. & Steel, M.F.J., 1996. "On the Use of Panel Data in Bayesian Stochastic Frontier Models," Discussion Paper 1996-17, Tilburg University, Center for Economic Research.
    9. Daniel Houser & Michael Keane & Kevin McCabe, 2002. "Behavior in a dynamic decision problem: An analysis of experimental evidence using a bayesian type classification algorithm," Experimental 0211001, University Library of Munich, Germany.
    10. Edward Herbst & Frank Schorfheide, 2017. "Tempered Particle Filtering," NBER Working Papers 23448, National Bureau of Economic Research, Inc.
    11. Christopher G. Lamoureux & H. Douglas Witte, 2002. "Empirical Analysis of the Yield Curve: The Information in the Data Viewed through the Window of Cox, Ingersoll, and Ross," Journal of Finance, American Finance Association, vol. 57(3), pages 1479-1520, June.
    12. Michael Cai & Marco Del Negro & Edward P. Herbst & Ethan Matlin & Reca Sarfati & Frank Schorfheide, 2019. "Online Estimation of DSGE Models," Liberty Street Economics 20190821, Federal Reserve Bank of New York.
    13. Waggoner, Daniel F. & Wu, Hongwei & Zha, Tao, 2016. "Striated Metropolis–Hastings sampler for high-dimensional models," Journal of Econometrics, Elsevier, vol. 192(2), pages 406-420.
    14. John Geweke & Michael P. Keane, 1997. "Mixture of normals probit models," Staff Report 237, Federal Reserve Bank of Minneapolis.
    15. Woźniak, Tomasz, 2015. "Testing causality between two vectors in multivariate GARCH models," International Journal of Forecasting, Elsevier, vol. 31(3), pages 876-894.
    16. Arnaud Dufays, 2015. "Evolutionary Sequential Monte Carlo Samplers for Change-point Models," Cahiers de recherche 1518, CIRPEE.
    17. Patrick Bajari, 2003. "Comment," Quantitative Marketing and Economics (QME), Springer, vol. 1(3), pages 277-283, September.
    18. Fernández-Villaverde, J. & Rubio-Ramírez, J.F. & Schorfheide, F., 2016. "Solution and Estimation Methods for DSGE Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 527-724, Elsevier.
    19. Rajeev Dehejia, 1999. "Program Evaluation as a Decision Problem," NBER Working Papers 6954, National Bureau of Economic Research, Inc.
    20. Grace H.Y. Lee, 2009. "Aggregate Shocks Decomposition For Eight East Asian Countries," Monash Economics Working Papers 17-09, Monash University, Department of Economics.
    21. Chatterjee, Arpita, 2016. "Globalization and monetary policy comovement: International evidence," Journal of International Money and Finance, Elsevier, vol. 68(C), pages 181-202.
    22. DeJong, David N. & Ingram, Beth F. & Whiteman, Charles H., 2000. "A Bayesian approach to dynamic macroeconomics," Journal of Econometrics, Elsevier, vol. 98(2), pages 203-223, October.
    23. John Geweke & Michael P. Keane, 1997. "An empirical analysis of income dynamics among men in the PSID: 1968-1989," Staff Report 233, Federal Reserve Bank of Minneapolis.
    24. Susan Athey & Guido Imbens, 2006. "Discrete Choice Models with Multiple Unobserved Choice Characteristics," Levine's Bibliography 122247000000001040, UCLA Department of Economics.
    25. William Greene, 2002. "Convenient estimators for the panel probit model: Further results," Working Papers 02-06, New York University, Leonard N. Stern School of Business, Department of Economics.
    26. Shephard, N. & Pitt, M.K., 1995. "Likelihood Analysis of Non-Gaussian Parameter-Driven Models," Economics Papers 108, Economics Group, Nuffield College, University of Oxford.
    27. Markku Lanne & Jani Luoto, 2015. "Estimation of DSGE Models under Diffuse Priors and Data-Driven Identification Constraints," CREATES Research Papers 2015-37, Department of Economics and Business Economics, Aarhus University.
    28. Anthony Tay & Kenneth F. Wallis, 2000. "Density Forecasting: A Survey," Econometric Society World Congress 2000 Contributed Papers 0370, Econometric Society.
    29. Arpita Chatterjee, 2013. "Globalization and Monetary Policy: An Empirical Analysis," Discussion Papers 2013-08, School of Economics, The University of New South Wales.
    30. Schorfheide, Frank & Mlikota, Marko, 2022. "Sequential Monte Carlo With Model Tempering," CEPR Discussion Papers 17035, C.E.P.R. Discussion Papers.
    31. Christopher Otrok & Charles H. Whiteman, 1996. "Baynesian Leading Indicators: Measuring and Predicting Economic Conditions," Macroeconomics 9610002, University Library of Munich, Germany.
    32. Markku Lanne & Jani Luoto, 2018. "Data†Driven Identification Constraints for DSGE Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(2), pages 236-258, April.
    33. Patrick Bajari & C. Lanier Benkard, 2001. "Demand Estimation With Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," NBER Technical Working Papers 0272, National Bureau of Economic Research, Inc.
    34. Arpita Chatterjee, 2014. "Globalization and Monetary Policy Comovement: Evidence from G-7 Countries," Discussion Papers 2014-19, School of Economics, The University of New South Wales.
    35. Benson, Jeremy Todd, 1996. "Television advertising's effect on the demand for different types of fresh beef: a Gibbs sampling approach," ISU General Staff Papers 1996010108000017630, Iowa State University, Department of Economics.
    36. William Greene, 2001. "Fixed and Random Effects in Nonlinear Models," Working Papers 01-01, New York University, Leonard N. Stern School of Business, Department of Economics.
    37. Lamoureux, Christopher G. & Nejadmalayeri, Ali, 2015. "Costs of capital and public issuance choice," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 27-45.
    38. Samuel Gingras & William J. McCausland, 2020. "A Flexible Stochastic Conditional Duration Model," Papers 2005.09166, arXiv.org.
    39. Patrick Bajari & C. Lanier Benkard, 2001. "Demand Estimation With Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," Working Papers 01010, Stanford University, Department of Economics.
    40. Martin Burda & Remi Daviet, 2023. "Hamiltonian sequential Monte Carlo with application to consumer choice behavior," Econometric Reviews, Taylor & Francis Journals, vol. 42(1), pages 54-77, January.
    41. Jacek Osiewalski & Mark Steel, 1998. "Numerical Tools for the Bayesian Analysis of Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 10(1), pages 103-117, July.
    42. John Geweke & Gautam Gowrisankaran & Robert J. Town, 2001. "Bayesian Inference for Hospital Quality in a Selection Model," NBER Working Papers 8497, National Bureau of Economic Research, Inc.
    43. Isaiah Andrews & Jesse M. Shapiro, 2020. "A Model of Scientific Communication," NBER Working Papers 26824, National Bureau of Economic Research, Inc.
    44. Siem Jan Koopman & Neil Shephard, 2002. "Testing the Assumptions Behind the Use of Importance Sampling," Economics Papers 2002-W17, Economics Group, Nuffield College, University of Oxford.
    45. Dellaportas, Petros & Tsionas, Mike G., 2019. "Importance sampling from posterior distributions using copula-like approximations," Journal of Econometrics, Elsevier, vol. 210(1), pages 45-57.
    46. Giovanni Di Bartolomeo & Lorenza Rossi & Massimiliano Tancioni, 2009. "Monetary Policy, Rule-of-Thumb Consumers and External Habits: A G7 Comparison," Quaderni di Dipartimento 101, University of Pavia, Department of Economics and Quantitative Methods.
    47. Lutz Kilian & Tao Zha, 2002. "Quantifying the uncertainty about the half-life of deviations from PPP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 107-125.
    48. Lee, Grace H.Y. & Azali, M., 2012. "Is East Asia an optimum currency area?," Economic Modelling, Elsevier, vol. 29(2), pages 87-95.
    49. Khurram SHAHZAD* & Muhammad Nadeem SARWAR**, 2018. "Analysis of Food Demand Patterns of Sindh Province, Pakistan," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 28(1), pages 147-168.
    50. Geweke, John & Tanizaki, Hisashi, 2001. "Bayesian estimation of state-space models using the Metropolis-Hastings algorithm within Gibbs sampling," Computational Statistics & Data Analysis, Elsevier, vol. 37(2), pages 151-170, August.
    51. Fernandez, Carmen & Osiewalski, Jacek & Steel, Mark F. J., 1997. "On the use of panel data in stochastic frontier models with improper priors," Journal of Econometrics, Elsevier, vol. 79(1), pages 169-193, July.
    52. Benkard, C. Lanier & Bajari, Patrick, 2001. "Demand Estimation with Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," Research Papers 1691, Stanford University, Graduate School of Business.
    53. Gautam Gowrisankaran & Robert J. Town, 2000. "Inferring Hospital Quality from Patient Discharge Records Using a Bayesian Selection Model," Econometric Society World Congress 2000 Contributed Papers 1773, Econometric Society.
    54. Ayhan Kose, M. & Otrok, Christopher & Whiteman, Charles H., 2008. "Understanding the evolution of world business cycles," Journal of International Economics, Elsevier, vol. 75(1), pages 110-130, May.
    55. Bajari, Patrick & Benkard, C. Lanier, 2004. "Demand Estimation With Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," Research Papers 1842, Stanford University, Graduate School of Business.
    56. Mark Bognanni & John Zito, 2019. "Sequential Bayesian Inference for Vector Autoregressions with Stochastic Volatility," Working Papers 19-29, Federal Reserve Bank of Cleveland.
    57. C. Lanier Benkard & Patrick Bajari, 2004. "Demand Estimation with Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," NBER Working Papers 10278, National Bureau of Economic Research, Inc.
    58. Geweke, John & Durham, Garland, 2019. "Sequentially adaptive Bayesian learning algorithms for inference and optimization," Journal of Econometrics, Elsevier, vol. 210(1), pages 4-25.
    59. Grace H.Y. Lee & M. Azali, 2009. "A Bayesian Approach to Optimum Currency Areas in East Asia," Monash Economics Working Papers 18-09, Monash University, Department of Economics.
    60. Dilip Nachane, 2017. "Dynamic Stochastic General Equilibrium (DSGE) Modelling :Theory And Practice," Working Papers id:11699, eSocialSciences.
    61. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2019. "Density Forecasting," BEMPS - Bozen Economics & Management Paper Series BEMPS59, Faculty of Economics and Management at the Free University of Bozen.

  23. John Geweke, 1995. "Monte Carlo simulation and numerical integration," Staff Report 192, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Haider, Adnan & Khan, Safdar Ullah, 2008. "A Small Open Economy DSGE Model for Pakistan," MPRA Paper 12977, University Library of Munich, Germany, revised 17 Jan 2009.
    2. Ghysels, E. & Harvey, A. & Renault, E., 1996. "Stochastic Volatility," Cahiers de recherche 9613, Universite de Montreal, Departement de sciences economiques.
    3. Heiss, Florian & Winschel, Viktor, 2008. "Likelihood approximation by numerical integration on sparse grids," Journal of Econometrics, Elsevier, vol. 144(1), pages 62-80, May.
    4. Aguirregabiria, Victor & Mira, Pedro, 2010. "Dynamic discrete choice structural models: A survey," Journal of Econometrics, Elsevier, vol. 156(1), pages 38-67, May.
    5. Khorunzhina, Natalia & Richard, Jean-Francois, 2016. "Finite Gaussian Mixture Approximations to Analytically Intractable Density Kernels," MPRA Paper 72326, University Library of Munich, Germany.
    6. Kilian, L. & Zha, T., 1999. "Quantifying the Half-Life of Deviations from PPP: The Role of Economic Priors," Papers 99-08, Michigan - Center for Research on Economic & Social Theory.
    7. Victor Aguirregabiria & Arvind Magesan, 2013. "Euler Equations for the Estimation of Dynamic Discrete Choice Structural Models," Working Papers tecipa-489, University of Toronto, Department of Economics.
    8. Eduardo Fé & Richard Hofler, 2013. "Count data stochastic frontier models, with an application to the patents–R&D relationship," Journal of Productivity Analysis, Springer, vol. 39(3), pages 271-284, June.
    9. S. Boragan Aruoba & Jesus Fernandez-Villaverde & Juan F. Rubio-Ramirez, 2003. "Comparing Solution Methods for Dynamic Equilibrium Economies," PIER Working Paper Archive 04-003, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    10. Peter C. Reiss & Matthew W. White, 2006. "Evaluating Welfare with Nonlinear Prices," NBER Working Papers 12370, National Bureau of Economic Research, Inc.
    11. Amine Ouazad & Romain Rancière, 2019. "City Equilibrium With Borrowing Constraints: Structural Estimation And General Equilibrium Effects," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 60(2), pages 721-749, May.
    12. Arauzo Carod, Josep Maria & Liviano Solís, Daniel & Manjón Antolín, Miguel C., 2008. "Empirical studies in industrial location: an assessment of their methods and results," Working Papers 2072/9257, Universitat Rovira i Virgili, Department of Economics.
    13. Aikaterini Karadimitropoulou, 2017. "Advanced economies and emerging markets: dissecting the drivers of business cycle synchronization," Working Papers 238, Bank of Greece.
    14. Aguirregabiria, Victor & Magesan, Arvind, 2013. "Euler Equations for the Estimation of Dynamic Discrete Choice Structural," MPRA Paper 46056, University Library of Munich, Germany.
    15. Christopher G. Lamoureux & H. Douglas Witte, 2002. "Empirical Analysis of the Yield Curve: The Information in the Data Viewed through the Window of Cox, Ingersoll, and Ross," Journal of Finance, American Finance Association, vol. 57(3), pages 1479-1520, June.
    16. Waggoner, Daniel F. & Zha, Tao, 2003. "A Gibbs sampler for structural vector autoregressions," Journal of Economic Dynamics and Control, Elsevier, vol. 28(2), pages 349-366, November.
    17. Victoria Prowse, 2012. "Modeling Employment Dynamics With State Dependence and Unobserved Heterogeneity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 411-431, April.
    18. Phaneuf, Daniel J. & Kling, Catherine L. & Herriges, Joseph A., 2000. "Estimation and Welfare Calculations in a Generalized Corner Solution Model with an Application to Recreation Demand," Staff General Research Papers Archive 1355, Iowa State University, Department of Economics.
    19. Phaneuf, Daniel James, 1997. "Generalized corner solution models in recreation demand," ISU General Staff Papers 1997010108000013022, Iowa State University, Department of Economics.
    20. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    21. Sandor, Zsolt & Andras, P.Peter, 2004. "Alternative sampling methods for estimating multivariate normal probabilities," Journal of Econometrics, Elsevier, vol. 120(2), pages 207-234, June.
    22. Font, Begoña, 1998. "Modelización de series temporales financieras. Una recopilación," DES - Documentos de Trabajo. Estadística y Econometría. DS 3664, Universidad Carlos III de Madrid. Departamento de Estadística.
    23. Daniel F. Waggoner & Tao Zha, 2000. "A Gibbs simulator for restricted VAR models," FRB Atlanta Working Paper 2000-3, Federal Reserve Bank of Atlanta.
    24. Sándor, Z. & András, P., 2003. "Alternate Samplingmethods for Estimating Multivariate Normal Probabilities," Econometric Institute Research Papers EI 2003-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    25. Chatterjee, Arpita, 2016. "Globalization and monetary policy comovement: International evidence," Journal of International Money and Finance, Elsevier, vol. 68(C), pages 181-202.
    26. McCAUSLAND, William, 2004. "Bayesian Analysis for a Theory of Random Consumer Demand: The Case of Indivisible Goods," Cahiers de recherche 2004-05, Universite de Montreal, Departement de sciences economiques.
    27. Torben G. Andersen & Tim Bollerslev, 1997. "Answering the Critics: Yes, ARCH Models Do Provide Good Volatility Forecasts," NBER Working Papers 6023, National Bureau of Economic Research, Inc.
    28. William Greene, 2002. "Convenient estimators for the panel probit model: Further results," Working Papers 02-06, New York University, Leonard N. Stern School of Business, Department of Economics.
    29. Joonwook Park & Priyali Rajagopal & Wayne DeSarbo, 2012. "A New Heterogeneous Multidimensional Unfolding Procedure," Psychometrika, Springer;The Psychometric Society, vol. 77(2), pages 263-287, April.
    30. Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2014. "No Arbitrage Priors, Drifting Volatilities, and the Term Structure of Interest Rates," CEPR Discussion Papers 9848, C.E.P.R. Discussion Papers.
    31. John Geweke, 1998. "Using simulation methods for Bayesian econometric models: inference, development, and communication," Staff Report 249, Federal Reserve Bank of Minneapolis.
    32. Gary Chamberlain & Guido W. Imbens, 1996. "Hierarchical Bayes Models with Many Instrumental Variables," NBER Technical Working Papers 0204, National Bureau of Economic Research, Inc.
    33. Sancetta, A., 2005. "Copula Based Monte Carlo Integration in Financial Problems," Cambridge Working Papers in Economics 0506, Faculty of Economics, University of Cambridge.
    34. Arpita Chatterjee, 2013. "Globalization and Monetary Policy: An Empirical Analysis," Discussion Papers 2013-08, School of Economics, The University of New South Wales.
    35. M. Ayhan Kose & Christopher Otrok & Charles H. Whiteman, 2003. "International Business Cycles: World, Region, and Country-Specific Factors," American Economic Review, American Economic Association, vol. 93(4), pages 1216-1239, September.
    36. Christopher Otrok & Charles H. Whiteman, 1996. "Baynesian Leading Indicators: Measuring and Predicting Economic Conditions," Macroeconomics 9610002, University Library of Munich, Germany.
    37. Waggoner, Daniel F. & Zha, Tao, 2003. "Likelihood preserving normalization in multiple equation models," Journal of Econometrics, Elsevier, vol. 114(2), pages 329-347, June.
    38. AJ A. Bostian & Moriah B. Bostian & Marita Laukkanen & Antti Simola, 2020. "Assessing the productivity consequences of agri-environmental practices when adoption is endogenous," Journal of Productivity Analysis, Springer, vol. 53(2), pages 141-162, April.
    39. Torben G. Andersen & Luca Benzoni & Jesper Lund, 2001. "An Empirical Investigation of Continuous-Time Equity Return Models," NBER Working Papers 8510, National Bureau of Economic Research, Inc.
    40. Patrick Bajari & C. Lanier Benkard, 2001. "Demand Estimation With Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," NBER Technical Working Papers 0272, National Bureau of Economic Research, Inc.
    41. Arpita Chatterjee, 2014. "Globalization and Monetary Policy Comovement: Evidence from G-7 Countries," Discussion Papers 2014-19, School of Economics, The University of New South Wales.
    42. William Greene, 2001. "Fixed and Random Effects in Nonlinear Models," Working Papers 01-01, New York University, Leonard N. Stern School of Business, Department of Economics.
    43. Heiss, Florian & Winschel, Viktor, 2006. "Estimation with Numerical Integration on Sparse Grids," Discussion Papers in Economics 916, University of Munich, Department of Economics.
    44. Phaneuf, Daniel J., 1999. "A Dual Approach to Modeling Corner Solutions in Recreation Demand," Journal of Environmental Economics and Management, Elsevier, vol. 37(1), pages 85-105, January.
    45. H. D. Vinod & B. D. McCullough, 1999. "The Numerical Reliability of Econometric Software," Journal of Economic Literature, American Economic Association, vol. 37(2), pages 633-665, June.
    46. Patrick Bajari & C. Lanier Benkard, 2001. "Demand Estimation With Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," Working Papers 01010, Stanford University, Department of Economics.
    47. Richard, Jean-Francois & Zhang, Wei, 2007. "Efficient high-dimensional importance sampling," Journal of Econometrics, Elsevier, vol. 141(2), pages 1385-1411, December.
    48. Luca Spataro, 2002. "New Tools in Micromodeling Retirement Decisions: Overview and Applications to the Italian Case," CeRP Working Papers 28, Center for Research on Pensions and Welfare Policies, Turin (Italy).
    49. Chokri Dridi, 2002. "A Short Note on the Numerical Approximation of the Standard Normal Cumulative Distribution and Its Inverse," Computational Economics 0212001, University Library of Munich, Germany, revised 07 Mar 2003.
    50. Davis, Graham A. & Vásquez Cordano, Arturo L., 2013. "The fate of the poor in growing mineral and energy economies," Resources Policy, Elsevier, vol. 38(2), pages 138-151.
    51. McCullough, B D, 1999. "Econometric Software Reliability: EViews, LIMDEP, SHAZAM and TSP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(2), pages 191-202, March-Apr.
    52. Laura Mørch Andersen, 2014. "Obtaining Reliable Likelihood Ratio Tests from Simulated Likelihood Functions," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-12, October.
    53. Charles Romeo, 2007. "A Gibbs sampler for mixed logit analysis of differentiated product markets using aggregate data," Computational Economics, Springer;Society for Computational Economics, vol. 29(1), pages 33-68, February.
    54. Geweke, John, 2001. "Bayesian econometrics and forecasting," Journal of Econometrics, Elsevier, vol. 100(1), pages 11-15, January.
    55. Aikaterini Karadimitropoulou & Miguel León-Ledesma, 2013. "World, Country, and Sector Factors in International Business Cycles," University of East Anglia Applied and Financial Economics Working Paper Series 045, School of Economics, University of East Anglia, Norwich, UK..
    56. Laura Mørch Andersen, 2013. "Obtaining reliable Likelihood Ratio tests from simulated likelihood functions," IFRO Working Paper 2013/1, University of Copenhagen, Department of Food and Resource Economics.
    57. Nyberg, Henri & Saikkonen, Pentti, 2012. "Forecasting with a noncausal VAR model," Bank of Finland Research Discussion Papers 33/2012, Bank of Finland.
    58. Andersen, Torben G. & Lund, Jesper, 1997. "Estimating continuous-time stochastic volatility models of the short-term interest rate," Journal of Econometrics, Elsevier, vol. 77(2), pages 343-377, April.
    59. Deschamps, Philippe J., 2006. "A flexible prior distribution for Markov switching autoregressions with Student-t errors," Journal of Econometrics, Elsevier, vol. 133(1), pages 153-190, July.
    60. Lutz Kilian & Tao Zha, 2002. "Quantifying the uncertainty about the half-life of deviations from PPP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 107-125.
    61. Pastorello, S. & Rossi, E., 2010. "Efficient importance sampling maximum likelihood estimation of stochastic differential equations," Computational Statistics & Data Analysis, Elsevier, vol. 54(11), pages 2753-2762, November.
    62. Kenneth L. Judd & Lilia Maliar & Serguei Maliar, 2011. "How to Solve Dynamic Stochastic Models Computing Expectations Just Once," NBER Working Papers 17418, National Bureau of Economic Research, Inc.
    63. Geweke, John & Tanizaki, Hisashi, 2001. "Bayesian estimation of state-space models using the Metropolis-Hastings algorithm within Gibbs sampling," Computational Statistics & Data Analysis, Elsevier, vol. 37(2), pages 151-170, August.
    64. Jack Britton & Ben Waltmann, 2021. "Revisiting the solution of dynamic discrete choice models: time to bring back Keane and Wolpin (1994)?," IFS Working Papers W21/13, Institute for Fiscal Studies.
    65. Benkard, C. Lanier & Bajari, Patrick, 2001. "Demand Estimation with Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," Research Papers 1691, Stanford University, Graduate School of Business.
    66. Plassmann, Florenz & Tideman, T. Nicolaus, 2000. "A Markov Chain Monte Carlo Analysis of the Effect of Two-Rate Property Taxes on Construction," Journal of Urban Economics, Elsevier, vol. 47(2), pages 216-247, March.
    67. KAMBA, Yanjanani & MAGANGA, Assa & KATENGEZA, Sam, 2020. "Drivers Of Climate Change Adaptation In Artisanal Fisheries. A Case Of Malawi," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 23(1), March.
    68. Xiao-Hui Sun & Toshiyuki Yamamoto & Kazuhiro Takahashi & Takayuki Morikawa, 2018. "Home charge timing choice behaviors of plug-in hybrid electric vehicle users under a dynamic electricity pricing scheme," Transportation, Springer, vol. 45(6), pages 1849-1869, November.
    69. Ni, Shawn & Sun, Dongchu, 2003. "Noninformative priors and frequentist risks of bayesian estimators of vector-autoregressive models," Journal of Econometrics, Elsevier, vol. 115(1), pages 159-197, July.
    70. Kuminoff, Nicolai V., 2008. "Recovering Preferences from a Dual-Market Locational Equilibrium," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 5989, Australian Agricultural and Resource Economics Society.
    71. Ayhan Kose, M. & Otrok, Christopher & Whiteman, Charles H., 2008. "Understanding the evolution of world business cycles," Journal of International Economics, Elsevier, vol. 75(1), pages 110-130, May.
    72. Bajari, Patrick & Benkard, C. Lanier, 2004. "Demand Estimation With Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," Research Papers 1842, Stanford University, Graduate School of Business.
    73. Enno Mammen & Jens Perch Nielsen & Michael Scholz & Stefan Sperlich, 2019. "Conditional Variance Forecasts for Long-Term Stock Returns," Risks, MDPI, vol. 7(4), pages 1-22, November.
    74. C. Lanier Benkard & Patrick Bajari, 2004. "Demand Estimation with Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," NBER Working Papers 10278, National Bureau of Economic Research, Inc.
    75. Garcia, Diego, 2003. "Convergence and Biases of Monte Carlo estimates of American option prices using a parametric exercise rule," Journal of Economic Dynamics and Control, Elsevier, vol. 27(10), pages 1855-1879, August.
    76. Michael Hazilla, 1997. "Separability and capital aggregation in sectoral models of US production," Applied Economics, Taylor & Francis Journals, vol. 29(7), pages 955-974.
    77. Hisashi Tanizaki, 2001. "Nonlinear and Non-Gaussian State Space Modeling Using Sampling Techniques," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 53(1), pages 63-81, March.
    78. Monika Piazzesi, 2001. "An Econometric Model of the Yield Curve with Macroeconomic Jump Effects," NBER Working Papers 8246, National Bureau of Economic Research, Inc.
    79. Yu, Jie & Goos, Peter & Vandebroek, Martina, 2010. "Comparing different sampling schemes for approximating the integrals involved in the efficient design of stated choice experiments," Transportation Research Part B: Methodological, Elsevier, vol. 44(10), pages 1268-1289, December.
    80. Geweke, John & Houser, Dan & Keane, Michael, 1999. "Simulation Based Inference for Dynamic Multinomial Choice Models," MPRA Paper 54279, University Library of Munich, Germany.

  24. John Geweke, 1995. "Bayesian reduced rank regression in econometrics," Working Papers 540, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Luca Benati & Thomas A. Lubik, 2021. "Searching for Hysteresis," Working Paper 21-03, Federal Reserve Bank of Richmond.
    2. Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2011. "Bayesian Inference in the Time Varying Cointegration Model," Working Papers 1121, University of Strathclyde Business School, Department of Economics.
    3. Kajal Lahiri & Chuanming Gao, 2001. "A Comparison of Some Recent Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Discussion Papers 01-15, University at Albany, SUNY, Department of Economics.
    4. Markus Jochmann & Gary Koop & Roberto Leon-Gonzalez & Rodney W. Strachan, 2009. "Stochastic Search Variable Selection in Vector Error Correction Models with an Application to a Model of the UK Macroeconomy," Working Paper series 44_09, Rimini Centre for Economic Analysis.
    5. Luintel, Kul B. & Khan, Mosahid & Leon-Gonzalez, Roberto & Li, Guangjie, 2016. "Financial development, structure and growth: New data, method and results," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 43(C), pages 95-112.
    6. Candelon, Bertrand & Lieb, Lenard, 2013. "Fiscal policy in good and bad times," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2679-2694.
    7. Koop, Gary & Korobilis, Dimitris & Pettenuzzo, Davide, 2019. "Bayesian compressed vector autoregressions," Journal of Econometrics, Elsevier, vol. 210(1), pages 135-154.
    8. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
    9. Carriero, Andrea & Kapetanios, George & Marcellino, Massimiliano, 2016. "Structural analysis with Multivariate Autoregressive Index models," Journal of Econometrics, Elsevier, vol. 192(2), pages 332-348.
    10. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    11. Kleibergen, F.R. & van Dijk, H.K., 1997. "Bayesian Simultaneous Equations Analysis using Reduced Rank Structures," Econometric Institute Research Papers EI 9714/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Villani, Mattias, 2003. "Bayes Estimators of the Cointegration Space," Working Paper Series 150, Sveriges Riksbank (Central Bank of Sweden).
    13. John C. Chao & Peter C.B. Phillips, 1997. "Model Selection in Partially Nonstationary Vector Autoregressive Processes with Reduced Rank Structure," Cowles Foundation Discussion Papers 1155, Cowles Foundation for Research in Economics, Yale University.
    14. Zhou, Guofu, 1995. "Small sample rank tests with applications to asset pricing," Journal of Empirical Finance, Elsevier, vol. 2(1), pages 71-93, March.
    15. Marcellino, Massimiliano & Kapetanios, George & Carriero, Andrea, 2009. "Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models," CEPR Discussion Papers 7446, C.E.P.R. Discussion Papers.
    16. Cogley, Timothy & Startz, Richard, 2012. "Bayesian IV: the normal case with multiple endogenous variables," University of California at Santa Barbara, Economics Working Paper Series qt40v0x246, Department of Economics, UC Santa Barbara.
    17. Lawrence Kessler & Murat Munkin, 2015. "Bayesian estimation of panel data fractional response models with endogeneity: an application to standardized test rates," Empirical Economics, Springer, vol. 49(1), pages 81-114, August.
    18. Kalyan Das & Angshuman Sarkar, 2014. "Robust inference for generalized partially linear mixed models that account for censored responses and missing covariates -- an application to Arctic data analysis," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(11), pages 2418-2436, November.
    19. Jochmann, Markus & Koop, Gary, 2011. "Regime-Switching Cointegration," SIRE Discussion Papers 2011-60, Scottish Institute for Research in Economics (SIRE).
    20. Villani, Mattias, 2005. "Bayesian Inference of General Linear Restrictions on the Cointegration Space," Working Paper Series 189, Sveriges Riksbank (Central Bank of Sweden).
    21. Conley, Timothy G. & Hansen, Christian B. & McCulloch, Robert E. & Rossi, Peter E., 2008. "A semi-parametric Bayesian approach to the instrumental variable problem," Journal of Econometrics, Elsevier, vol. 144(1), pages 276-305, May.
    22. Xianguo HUANG & Roberto LEON-GONZALEZ & Somrasri YUPHO, 2013. "Financial Integration from a Time-Varying Cointegration Perspective," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 3(12), pages 1473-1487.
    23. Malley, James & Woitek, Ulrich, 2011. "Productivity shocks and aggregate fluctuations in an estimated endogenous growth model with human capital," SIRE Discussion Papers 2011-71, Scottish Institute for Research in Economics (SIRE).
    24. Ruochen Wu & Melvyn Weeks, 2020. "A Semi-Parametric Bayesian Generalized Least Squares Estimator," Papers 2011.10252, arXiv.org, revised Jan 2023.
    25. Sugita, Katsuhiro, 2002. "Testing For Cointegration Rank Using Bayes Factors," The Warwick Economics Research Paper Series (TWERPS) 654, University of Warwick, Department of Economics.
    26. Gary Koop & Roberto Leon-Gonzalez & Rodney Strachan, 2007. "Bayesian Inference in a Cointegrating Panel Data Model," Working Paper series 02_07, Rimini Centre for Economic Analysis.
    27. Theo S. Eicher & Monique Newiak, 2013. "Intellectual property rights as development determinants," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 46(1), pages 4-22, February.
    28. Eran Raviv & Kees E. Bouwman & Dick van Dijk, 2013. "Forecasting Day-Ahead Electricity Prices: Utilizing Hourly Prices," Tinbergen Institute Discussion Papers 13-068/III, Tinbergen Institute.
    29. James D. Hamilton & Daniel F. Waggoner & Tao Zha, 2007. "Normalization in Econometrics," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 221-252.
    30. SILVESTRINI, Andrea, 2010. "Testing fiscal sustainability in Poland: a Bayesian analysis of cointegration," LIDAM Reprints CORE 2220, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    31. Gareth W. Peters & Balakrishnan Kannan & Ben Lasscock & Chris Mellen, 2010. "Model Selection and Adaptive Markov chain Monte Carlo for Bayesian Cointegrated VAR model," Papers 1004.3830, arXiv.org.
    32. Rodney W. Strachan & Herman K. Van Dijk, 2013. "Evidence On Features Of A Dsge Business Cycle Model From Bayesian Model Averaging," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(1), pages 385-402, February.
    33. Dyevre, Arthur & Lampach, Nicolas, 2018. "The origins of regional integration: Untangling the effect of trade on judicial cooperation," International Review of Law and Economics, Elsevier, vol. 56(C), pages 122-133.
    34. Michael L. Polemis & Mike G. Tsionas, 2023. "The environmental consequences of blockchain technology: A Bayesian quantile cointegration analysis for Bitcoin," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1602-1621, April.
    35. Nalan Basturk & Lennart Hoogerheide & Herman K. van Dijk, 2017. "Bayesian Analysis of Boundary and Near-Boundary Evidence in Econometric Models with Reduced Rank," Tinbergen Institute Discussion Papers 17-058/III, Tinbergen Institute.
    36. Shephard, N. & Pitt, M.K., 1995. "Likelihood Analysis of Non-Gaussian Parameter-Driven Models," Economics Papers 108, Economics Group, Nuffield College, University of Oxford.
    37. Amisano, Gianni, 2003. "Bayesian inference in cointegrated systems," Research in Economics, Elsevier, vol. 57(4), pages 287-314, December.
    38. Cristina Fuentes-Albero & Leonardo Melosi, 2011. "Methods for Computing Marginal Data Densities from the Gibbs Output," Departmental Working Papers 201131, Rutgers University, Department of Economics.
    39. Sugita, Katsuhiro, 2002. "Testing for Cointegration Rank Using Bayes Factors," Economic Research Papers 269467, University of Warwick - Department of Economics.
    40. Goh, Gyuhyeong & Dey, Dipak K. & Chen, Kun, 2017. "Bayesian sparse reduced rank multivariate regression," Journal of Multivariate Analysis, Elsevier, vol. 157(C), pages 14-28.
    41. Ryo Kato & Takahiro Hoshino, 2018. "Semiparametric Bayes Instrumental Variable Estimation with Many Weak Instruments," Discussion Paper Series DP2018-14, Research Institute for Economics & Business Administration, Kobe University.
    42. Koop, G. & Strachan, R.W. & van Dijk, H.K. & Villani, M., 2005. "Bayesian approaches to cointegratrion," Econometric Institute Research Papers EI 2005-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    43. Karlsson, Sune, 2012. "Conditional posteriors for the reduced rank regression model," Working Papers 2012:11, Örebro University, School of Business.
    44. Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2007. "Forecasting Large Datasets with Reduced Rank Multivariate Models," Working Papers 617, Queen Mary University of London, School of Economics and Finance.
    45. Primiceri, Giorgio & Giannone, Domenico & Lenza, Michele, 2016. "Priors for the Long Run," CEPR Discussion Papers 11261, C.E.P.R. Discussion Papers.
    46. Christopher A. Sims, 2007. "Thinking about instrumental variables (in Russian)," Quantile, Quantile, issue 2, pages 83-94, March.
    47. Fan, Jianqing & Gong, Wenyan & Zhu, Ziwei, 2019. "Generalized high-dimensional trace regression via nuclear norm regularization," Journal of Econometrics, Elsevier, vol. 212(1), pages 177-202.
    48. Strachan, Rodney W. & Inder, Brett, 2004. "Bayesian analysis of the error correction model," Journal of Econometrics, Elsevier, vol. 123(2), pages 307-325, December.
    49. Gael Martin, 2001. "Bayesian Analysis Of A Fractional Cointegration Model," Econometric Reviews, Taylor & Francis Journals, vol. 20(2), pages 217-234.
    50. Kleibergen, Frank & Paap, Richard, 2002. "Priors, posteriors and bayes factors for a Bayesian analysis of cointegration," Journal of Econometrics, Elsevier, vol. 111(2), pages 223-249, December.
    51. Luís Catela Nunes, 2003. "Forecasting Euro Area Aggregates with Bayesian VAR and VECM Models," Working Papers w200304, Banco de Portugal, Economics and Research Department.
    52. Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2020. "The economic drivers of volatility and uncertainty," Temi di discussione (Economic working papers) 1285, Bank of Italy, Economic Research and International Relations Area.
    53. Belén Pérez-Sánchez & Martín González & Carmen Perea & Jose J. López-Espín, 2021. "A New Computational Method for Estimating Simultaneous Equations Models Using Entropy as a Parameter Criteria," Mathematics, MDPI, vol. 9(7), pages 1-9, March.
    54. Andrea Carriero & Francesco Corsello & Massimiliano Marcellino, 2018. "The global component of inflation volatility," Temi di discussione (Economic working papers) 1170, Bank of Italy, Economic Research and International Relations Area.
    55. Gary Koop & Roberto León-González & Rodney W. Strachan, 2010. "Efficient Posterior Simulation for Cointegrated Models with Priors on the Cointegration Space," Econometric Reviews, Taylor & Francis Journals, vol. 29(2), pages 224-242, April.
    56. Villani, Mattias, 2006. "Bayesian point estimation of the cointegration space," Journal of Econometrics, Elsevier, vol. 134(2), pages 645-664, October.
    57. Theo S. Eicher & Alex Lenkoski & Adrian Raftery, 2009. "Bayesian Model Averaging and Endogeneity Under Model Uncertainty: An Application to Development Determinants," Working Papers UWEC-2009-19-FC, University of Washington, Department of Economics.
    58. Gary Koop, 1998. "Carbon dioxide emissions and economic growth: A structural approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 25(4), pages 489-515.
    59. Xiaojie Xu, 2015. "Cointegration among regional corn cash prices," Economics Bulletin, AccessEcon, vol. 35(4), pages 2581-2594.
    60. Bin Jiang & Anastasios Panagiotelis & George Athanasopoulos & Rob Hyndman & Farshid Vahid, 2016. "Bayesian Rank Selection in Multivariate Regression," Monash Econometrics and Business Statistics Working Papers 6/16, Monash University, Department of Econometrics and Business Statistics.
    61. Niko Hauzenberger & Michael Pfarrhofer & Luca Rossini, 2020. "Sparse time-varying parameter VECMs with an application to modeling electricity prices," Papers 2011.04577, arXiv.org, revised Apr 2023.
    62. Peter McAdam & Kostas Mouratidis & Theodore Panagiotidis & Georgios Papapanagiotou, 2023. "European Trade & Growth Imbalances: An Analysis using a Sign-Restriction Bayesian-GVAR with Stochastic Volatility," Working Paper series 23-12, Rimini Centre for Economic Analysis.
    63. Paap, R. & van Nierop, J.E.M. & van Heerde, H.J. & Wedel, M. & Franses, Ph.H.B.F. & Alsem, K.J., 2000. "Consideration sets, intentions and the inclusion of "Don't know" in a two-stage model for voter choice," Econometric Institute Research Papers EI 2000-33/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    64. Feng, Sanying & Lian, Heng & Zhu, Fukang, 2016. "Reduced rank regression with possibly non-smooth criterion functions: An empirical likelihood approach," Computational Statistics & Data Analysis, Elsevier, vol. 103(C), pages 139-150.
    65. Richard Paap & Philip Hans Franses, 2000. "A dynamic multinomial probit model for brand choice with different long-run and short-run effects of marketing-mix variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 717-744.
    66. Prüser, Jan, 2023. "Data-based priors for vector error correction models," International Journal of Forecasting, Elsevier, vol. 39(1), pages 209-227.
    67. Hoogerheide, L.F. & Kleibergen, F.R. & van Dijk, H.K., 2006. "Natural conjugate priors for the instrumental variables regression model applied to the Angrist-Krueger data," Econometric Institute Research Papers EI 2006-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    68. Huber, Florian & Zörner, Thomas O., 2019. "Threshold cointegration in international exchange rates:A Bayesian approach," International Journal of Forecasting, Elsevier, vol. 35(2), pages 458-473.
    69. Geweke, John & Durham, Garland, 2019. "Sequentially adaptive Bayesian learning algorithms for inference and optimization," Journal of Econometrics, Elsevier, vol. 210(1), pages 4-25.
    70. Helmut Luetkepohl, 2007. "Econometric Analysis with Vector Autoregressive Models," Economics Working Papers ECO2007/11, European University Institute.
    71. Villani, Mattias, 1999. "Bayesian Prediction with a Cointegrated Vector Autoregression," Working Paper Series 97, Sveriges Riksbank (Central Bank of Sweden).
    72. Kleibergen, F.R. & Paap, R., 1996. "Priors, Posterior Odds and Lagrange Multiplier Statistics in Bayesian Analyses of Cointegration," Econometric Institute Research Papers EI 9668-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    73. Paul Corrigan, 2017. "Terms-of-Trade and House Price Fluctuations: A Cross-Country Study," Staff Working Papers 17-1, Bank of Canada.
    74. Chuanming Gao & Kajal Lahiri, 2019. "A Comparison of Some Bayesian and Classical Procedures for Simultaneous Equation Models with Weak Instruments," Econometrics, MDPI, vol. 7(3), pages 1-28, July.

  25. John Geweke, 1995. "Bayesian inference for linear models subject to linear inequality constraints," Working Papers 552, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Qian, Hang, 2012. "Essays on statistical inference with imperfectly observed data," ISU General Staff Papers 201201010800003618, Iowa State University, Department of Economics.
    2. Andersson, Michael K. & Palmqvist, Stefan & Waggoner, Daniel F., 2010. "Density-Conditional Forecasts in Dynamic Multivariate Models," Working Paper Series 247, Sveriges Riksbank (Central Bank of Sweden).
    3. Paul Knottnerus, 2016. "On new variance approximations for linear models with inequality constraints," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 70(1), pages 26-46, February.
    4. Qian, Hang, 2010. "Linear regression using both temporally aggregated and temporally disaggregated data: Revisited," MPRA Paper 32686, University Library of Munich, Germany.
    5. Golan, Amos & Judge, George & Perloff, Jeffrey, 1997. "Estimation and inference with censored and ordered multinomial response data," Journal of Econometrics, Elsevier, vol. 79(1), pages 23-51, July.

  26. John Geweke & Lea Petrella, 1995. "Prior density ratio class robustness in econometrics," Working Papers 553, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Kawther Alimi & Mohamed Chakroun & Grégory Levieuge, 2019. "Diagnosis of Monetary Policy in Tunisia During the Last Decade: a DSGE Model Approach," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 10(1), pages 348-364, March.
    2. Brutscher, P., 2012. "Self-Disconnection Among Pre-Payment Customers - A Behavioural Analysis," Cambridge Working Papers in Economics 1214, Faculty of Economics, University of Cambridge.

  27. John Geweke, 1994. "Bayesian comparison of econometric models," Working Papers 532, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Eric Jacquier & Robert Jarrow, 1996. "Model Error in Contingent Claim Models Dynamic Evaluation," CIRANO Working Papers 96s-12, CIRANO.
    2. Broto, Carmen & Ruiz Ortega, Esther, 2002. "Estimation methods for stochastic volatility models: a survey," DES - Working Papers. Statistics and Econometrics. WS ws025414, Universidad Carlos III de Madrid. Departamento de Estadística.
    3. Gallant, A. Ronald & Hsieh, David & Tauchen, George, 1995. "Estimation of Stochastic Volatility Models with Diagnostics," Working Papers 95-36, Duke University, Department of Economics.
    4. Fu, Jin-Yu & Lin, Jin-Guan & Hao, Hong-Xia, 2023. "Volatility analysis for the GARCH–Itô–Jumps model based on high-frequency and low-frequency financial data," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1698-1712.
    5. John C. Chao & Peter C.B. Phillips, 1997. "Model Selection in Partially Nonstationary Vector Autoregressive Processes with Reduced Rank Structure," Cowles Foundation Discussion Papers 1155, Cowles Foundation for Research in Economics, Yale University.
    6. Jun Yu & Zhenlin Yang & Xibin Zhang, 2002. "A Class of Nonlinear Stochastic Volatility Models and Its Implications on Pricing Currency Options," Monash Econometrics and Business Statistics Working Papers 17/02, Monash University, Department of Econometrics and Business Statistics.
    7. Oleg Korenok & Stanislav Radchenko, 2005. "The smooth transition autoregressive target zone model with the Gaussian stochastic volatility and TGARCH error terms with applications," Working Papers 0505, VCU School of Business, Department of Economics.
    8. John M. Maheu & Stephen Gordon, 2004. "Learning, Forecasting and Structural Breaks," Cahiers de recherche 0422, CIRPEE.
    9. Christopher G. Lamoureux & H. Douglas Witte, 2002. "Empirical Analysis of the Yield Curve: The Information in the Data Viewed through the Window of Cox, Ingersoll, and Ross," Journal of Finance, American Finance Association, vol. 57(3), pages 1479-1520, June.
    10. Lopez, Jose A, 2001. "Evaluating the Predictive Accuracy of Volatility Models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(2), pages 87-109, March.
    11. Font, Begoña, 1998. "Modelización de series temporales financieras. Una recopilación," DES - Documentos de Trabajo. Estadística y Econometría. DS 3664, Universidad Carlos III de Madrid. Departamento de Estadística.
    12. John M Maheu & Thomas H McCurdy, 2007. "Modeling foreign exchange rates with jumps," Working Papers tecipa-279, University of Toronto, Department of Economics.
    13. Xavier Sala-I-Martin & Gernot Doppelhofer & Ronald I. Miller, 2004. "Determinants of Long-Term Growth: A Bayesian Averaging of Classical Estimates (BACE) Approach," American Economic Review, American Economic Association, vol. 94(4), pages 813-835, September.
    14. John Geweke, 1995. "Bayesian reduced rank regression in econometrics," Working Papers 540, Federal Reserve Bank of Minneapolis.
    15. Michael K Pitt & Neil Shephard, "undated". "Filtering via simulation: auxiliary particle filters," Economics Papers 1997-W13, Economics Group, Nuffield College, University of Oxford.
    16. Gerlach, Richard & Tuyl, Frank, 2006. "MCMC methods for comparing stochastic volatility and GARCH models," International Journal of Forecasting, Elsevier, vol. 22(1), pages 91-107.
    17. Ausin, Maria Concepcion & Galeano, Pedro, 2007. "Bayesian estimation of the Gaussian mixture GARCH model," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2636-2652, February.
    18. LUBRANO, Michel, 1998. "Smooth transition GARCH models: a Bayesian perspective," LIDAM Discussion Papers CORE 1998066, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    19. Eric Jacquier & Nicholas G. Polson & Peter E. Rossi, 1999. "Stochastic Volatility: Univariate and Multivariate Extensions," CIRANO Working Papers 99s-26, CIRANO.
    20. Gary Chamberlain & Guido W. Imbens, 1996. "Hierarchical Bayes Models with Many Instrumental Variables," NBER Technical Working Papers 0204, National Bureau of Economic Research, Inc.
    21. Hardiyanto, A.V., 2007. "Daily Rp/USD stochastic volatility and the policy implication lesson," Journal of Asian Economics, Elsevier, vol. 18(1), pages 237-256, February.
    22. Solibakke, Per Bjarte, 2001. "A stochastic volatility model specification with diagnostics for thinly traded equity markets," Journal of Multinational Financial Management, Elsevier, vol. 11(4-5), pages 385-406, December.
    23. Per Bjarte Solibakke, 2003. "Validity of discrete-time stochastic volatility models in non-synchronous equity markets," The European Journal of Finance, Taylor & Francis Journals, vol. 9(5), pages 420-448.
    24. Lien, Donald & Wilson, Bradley K., 2001. "Multiperiod hedging in the presence of stochastic volatility," International Review of Financial Analysis, Elsevier, vol. 10(4), pages 395-406.
    25. Berument, Hakan & Yalcin, Yeliz & Yildirim, Julide, 2009. "The effect of inflation uncertainty on inflation: Stochastic volatility in mean model within a dynamic framework," Economic Modelling, Elsevier, vol. 26(6), pages 1201-1207, November.
    26. Koop, Gary & Potter, Simon M., 1998. "Bayes factors and nonlinearity: Evidence from economic time series1," Journal of Econometrics, Elsevier, vol. 88(2), pages 251-281, November.
    27. Cheng, Ai-ru (Meg) & Gallant, A. Ronald & Ji, Chuanshu & Lee, Beom S., 2008. "A Gaussian approximation scheme for computation of option prices in stochastic volatility models," Journal of Econometrics, Elsevier, vol. 146(1), pages 44-58, September.
    28. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
    29. Andersen, Torben G. & Chung, Hyung-Jin & Sorensen, Bent E., 1999. "Efficient method of moments estimation of a stochastic volatility model: A Monte Carlo study," Journal of Econometrics, Elsevier, vol. 91(1), pages 61-87, July.
    30. Anton Bekkerman, 2011. "Time‐varying hedge ratios in linked agricultural markets," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 179-200, August.
    31. Lopes, Hedibert Freitas & Moreira, Ajax R. Bello & Schmidt, Alexandra Mello, 1999. "Hyperparameter estimation in forecast models," Computational Statistics & Data Analysis, Elsevier, vol. 29(4), pages 387-410, February.
    32. Chua, Chew Lian & Suardi, Sandy & Tsiaplias, Sarantis, 2013. "Predicting short-term interest rates using Bayesian model averaging: Evidence from weekly and high frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 442-455.
    33. Cathy W. S. Chen & Richard H. Gerlach & Ann M. H. Lin, 2010. "Falling and explosive, dormant, and rising markets via multiple‐regime financial time series models," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 26(1), pages 28-49, January.
    34. Zellner, Arnold, 1998. "The finite sample properties of simultaneous equations' estimates and estimators Bayesian and non-Bayesian approaches," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 185-212.

  28. John Geweke & Michael P. Keane & David E. Runkle, 1994. "Alternative computational approaches to inference in the multinomial probit model," Staff Report 170, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Gerfin, Michael & Lechner, Michael & Steiger, Heidi, 2002. "Does subsidised temporary employment get the unemployed back to work? An econometric analysis of two different schemes," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 A2-2, International Conferences on Panel Data.
    2. Denis Bolduc, "undated". "A Fast Maximum Simulated Likelihood Estimation Technique for NMP Models," Computing in Economics and Finance 1997 155, Society for Computational Economics.
    3. Nathalie Havet, 2006. "La valorisation salariale et professionnelle de la formation en entreprise diffère-t-elle selon le sexe ? : l’exemple canadien," Working Papers 0602, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    4. Lechner, Michael & Smith, Jeffrey, 2003. "What is the Value Added by Caseworkers?," CEPR Discussion Papers 3825, C.E.P.R. Discussion Papers.
    5. Michael Lechner & Ruth Miquel & Conny Wunsch, 2005. "The Curse and Blessing of Training the Unemployed in a Changing Economy: The Case of East Germany after Unification," University of St. Gallen Department of Economics working paper series 2005 2005-15, Department of Economics, University of St. Gallen.
    6. Garth Holloway & Donald Lacombe & James P. LeSage, 2007. "Spatial Econometric Issues for Bio‐Economic and Land‐Use Modelling," Journal of Agricultural Economics, Wiley Blackwell, vol. 58(3), pages 549-588, September.
    7. Francisco J. Ruge-Murcia, 2000. "Uncovering financial markets' beliefs about inflation targets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 483-512.
    8. van Dijk, Bram & Paap, Richard, 2008. "Explaining individual response using aggregated data," Journal of Econometrics, Elsevier, vol. 146(1), pages 1-9, September.
    9. Ando, Tomohiro & Bai, Jushan & Li, Kunpeng, 2022. "Bayesian and maximum likelihood analysis of large-scale panel choice models with unobserved heterogeneity," Journal of Econometrics, Elsevier, vol. 230(1), pages 20-38.
    10. Paleti, Rajesh, 2018. "Generalized multinomial probit Model: Accommodating constrained random parameters," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 248-262.
    11. Tekin-Koru, Ayça, 2012. "Asymmetric effects of trade costs on entry modes: Firm level evidence," European Economic Review, Elsevier, vol. 56(2), pages 277-294.
    12. Didier Nibbering, 2023. "A High-dimensional Multinomial Logit Model," Monash Econometrics and Business Statistics Working Papers 19/23, Monash University, Department of Econometrics and Business Statistics.
    13. Inkmann, Joachim, 2001. "Accounting for Nonresponse Heterogeneity in Panel Data," CoFE Discussion Papers 01/03, University of Konstanz, Center of Finance and Econometrics (CoFE).
    14. Siddhartha Chib & Edward Greenberg & Yuxin Chen, 1998. "MCMC Methods for Fitting and Comparing Multinomial Response Models," Econometrics 9802001, University Library of Munich, Germany, revised 06 May 1998.
    15. Michael P. Keane, 1989. "A computationally practical simulation estimator for panel data, with applications to labor supply and real wage movement over the business cycle," Discussion Paper / Institute for Empirical Macroeconomics 16, Federal Reserve Bank of Minneapolis.
    16. Michael Lechner & Ruth Miquel & Conny Wunsch, 2004. "Long-run Effects of Public Sector Sponsored Training in West Germany," University of St. Gallen Department of Economics working paper series 2004 2004-19, Department of Economics, University of St. Gallen.
    17. Schmidheiny, Kurt, 2003. "Income Segregation and Local Progressive Taxation: Empirical Evidence from Switzerland," Discussion Paper Series 26217, Hamburg Institute of International Economics.
    18. Prowse, Victoria L., 2005. "State Dependence in a Multi-State Model of Employment Dynamics," IZA Discussion Papers 1623, Institute of Labor Economics (IZA).
    19. Vincent Boucher & Finagnon A. Dedewanou & Arnaud Dufays, 2018. "Peer-Induced Beliefs Regarding College Participation," Cahiers de recherche 1817, Centre de recherche sur les risques, les enjeux économiques, et les politiques publiques.
    20. Gerfin, Michael & Lechner, Michael, 2000. "Microeconometric Evaluation of the Active Labour Market Policy in Switzerland," IZA Discussion Papers 154, Institute of Labor Economics (IZA).
    21. Lee, Lung-Fei, 1997. "A simulated likelihood estimator for qualitative response models with sufficient statistics," Economics Letters, Elsevier, vol. 57(1), pages 23-32, November.
    22. John Karl Scholz & Ananth Seshadri & Surachai Khitatrakun, 2004. "Are Americans Saving "Optimally" for Retirement?," NBER Working Papers 10260, National Bureau of Economic Research, Inc.
    23. María Vázquez Rodríguez & Carmelo León, 2004. "Altruism and the Economic Values of Environmental and Social Policies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 28(2), pages 233-249, June.
    24. Sumeetpal S. Singh & Nicolas Chopin & Nick Whiteley, 2010. "Bayesian Learning of Noisy Markov Decision Processes," Working Papers 2010-36, Center for Research in Economics and Statistics.
    25. Ziegler, Andreas & Schröder, Michael, 2010. "What determines the inclusion in a sustainability stock index?: A panel data analysis for european firms," Ecological Economics, Elsevier, vol. 69(4), pages 848-856, February.
    26. Patrick Waelbroeck, 2005. "Computational Issues in the Sequential Probit Model: A Monte Carlo Study," Computational Economics, Springer;Society for Computational Economics, vol. 26(2), pages 141-161, October.
    27. Zhang, Xiao & Boscardin, W. John & Belin, Thomas R. & Wan, Xiaohai & He, Yulei & Zhang, Kui, 2015. "A Bayesian method for analyzing combinations of continuous, ordinal, and nominal categorical data with missing values," Journal of Multivariate Analysis, Elsevier, vol. 135(C), pages 43-58.
    28. Nitin Mehta, 2007. "Investigating Consumers' Purchase Incidence and Brand Choice Decisions Across Multiple Product Categories: A Theoretical and Empirical Analysis," Marketing Science, INFORMS, vol. 26(2), pages 196-217, 03-04.
    29. Shiko Maruyama, 2009. "Estimating Sequential-move Games by a Recursive Conditioning Simulator," Discussion Papers 2009-01, School of Economics, The University of New South Wales.
    30. John Geweke & Michael P. Keane, 1997. "Mixture of normals probit models," Staff Report 237, Federal Reserve Bank of Minneapolis.
    31. Groh, Elke D. & Möllendorff, Charlotte v., 2020. "What shapes the support of renewable energy expansion? Public attitudes between policy goals and risk, time, and social preferences," Energy Policy, Elsevier, vol. 137(C).
    32. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    33. Sandor, Zsolt & Andras, P.Peter, 2004. "Alternative sampling methods for estimating multivariate normal probabilities," Journal of Econometrics, Elsevier, vol. 120(2), pages 207-234, June.
    34. Baltas, George, 2004. "A model for multiple brand choice," European Journal of Operational Research, Elsevier, vol. 154(1), pages 144-149, April.
    35. Engel, Dirk & Procher, Vivien & Schmidt, Christoph M., 2010. "The Asymmetries of a Small World: Entry Into and Withdrawal From International Markets by French Firms," Ruhr Economic Papers 192, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    36. Michael Lechner, 2000. "Programme Heterogeneity and Propensity Score Matching: An Application to the Evaluation of Active Labour Market Policies," Econometric Society World Congress 2000 Contributed Papers 0647, Econometric Society.
    37. Jason D. Lemp & Kara M. Kockelman & Paul Damien, 2012. "A Bivariate Multinomial Probit Model for Trip Scheduling: Bayesian Analysis of the Work Tour," Transportation Science, INFORMS, vol. 46(3), pages 405-424, August.
    38. Horowitz, Joel L. & Nesheim, Lars, 2021. "Using penalized likelihood to select parameters in a random coefficients multinomial logit model," Journal of Econometrics, Elsevier, vol. 222(1), pages 44-55.
    39. Michael Lechner, 2005. "Some practical issues in the evaluation of heterogeneous labour market programmes by matching methods," Labor and Demography 0505006, University Library of Munich, Germany.
    40. Patrick Bajari, 2003. "Comment," Quantitative Marketing and Economics (QME), Springer, vol. 1(3), pages 277-283, September.
    41. Haaijer, Marinus E., 1996. "Predictions in conjoint choice experiments : the x-factor probit model," Research Report 96B22, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    42. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    43. Golob, Thomas F. & Reagan, Amelia C., 2002. "Trucking Industry Adoption of Information Technology: A structural Multivariate Discrete Choice Model," University of California Transportation Center, Working Papers qt7kv5f17n, University of California Transportation Center.
    44. Sándor, Z. & András, P., 2003. "Alternate Samplingmethods for Estimating Multivariate Normal Probabilities," Econometric Institute Research Papers EI 2003-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    45. Azari Soufiani, Hossein & Diao, Hansheng & Lai, Zhenyu & Parkes, David C., 2013. "Generalized Random Utility Models with Multiple Types," Scholarly Articles 12363923, Harvard University Department of Economics.
    46. Can, Vo Van, 2013. "Estimation of travel mode choice for domestic tourists to Nha Trang using the multinomial probit model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 149-159.
    47. Madeira, Carlos, 2020. "Learning your own ability," Journal of Economic Dynamics and Control, Elsevier, vol. 121(C).
    48. Michel Wedel & Wagner Kamakura, 2001. "Factor analysis with (mixed) observed and latent variables in the exponential family," Psychometrika, Springer;The Psychometric Society, vol. 66(4), pages 515-530, December.
    49. Elrod, Terry & Keane, Michael, 1995. "A Factor-Analytic Probit Model for Representing the Market Structure in Panel Data," MPRA Paper 52434, University Library of Munich, Germany.
    50. Shiko Maruyama, 2010. "Estimation of Finite Sequential Games," Discussion Papers 2010-22, School of Economics, The University of New South Wales.
    51. Zhou Xun & Michel Lubrano, 2022. "Preference for Redistribution, Poverty Perception among Chinese Migrants," Working Papers hal-03886239, HAL.
    52. Yai, Tetsuo & Iwakura, Seiji & Morichi, Shigeru, 1997. "Multinomial probit with structured covariance for route choice behavior," Transportation Research Part B: Methodological, Elsevier, vol. 31(3), pages 195-207, June.
    53. Gastón A. Giordana, 2008. "Wealthy people do better? Experimental Evidence on Endogenous Time Preference Heterogeneity and the Effect of Wealth in Renewable Common-Pool Resources Exploitation," Working Papers 08-10, LAMETA, Universtiy of Montpellier, revised Jul 2008.
    54. Prateek Bansal & Vahid Keshavarzzadeh & Angelo Guevara & Shanjun Li & Ricardo A Daziano, 2022. "Designed quadrature to approximate integrals in maximum simulated likelihood estimation [Evaluating simulation-based approaches and multivariate quadrature on sparse grids in estimating multivariat," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 301-321.
    55. William E. Griffiths & R. Carter Hill & Christopher J. O'Donnell, 2001. "Including Prior Information in Probit Model Estimation," Department of Economics - Working Papers Series 816, The University of Melbourne.
    56. William Greene, 2002. "Convenient estimators for the panel probit model: Further results," Working Papers 02-06, New York University, Leonard N. Stern School of Business, Department of Economics.
    57. Alan T. Sorensen, 2001. "An Empirical Model of Heterogeneous Consumer Search for Retail Prescription Drugs," NBER Working Papers 8548, National Bureau of Economic Research, Inc.
    58. Rennings, Klaus & Ziegler, Andreas & Zwick, Thomas, 2001. "Employment changes in environmentally innovative firms," ZEW Discussion Papers 01-46, ZEW - Leibniz Centre for European Economic Research.
    59. Houser, Daniel, 2003. "Bayesian analysis of a dynamic stochastic model of labor supply and saving," Journal of Econometrics, Elsevier, vol. 113(2), pages 289-335, April.
    60. B. Larivière & D. Van Den Poel, 2004. "Investigating the role of product features in preventing customer churn, by using survival analysis and choice modeling: The case of financial services," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/223, Ghent University, Faculty of Economics and Business Administration.
    61. Müller, Tobias & Boes, Stefan, 2016. "Disability Insurance Benefits and Labor Supply Decisions: Evidence from a Discontinuity in Benefit Awards," MPRA Paper 70840, University Library of Munich, Germany.
    62. Chib, Siddhartha & Greenberg, Edward, 1996. "Markov Chain Monte Carlo Simulation Methods in Econometrics," Econometric Theory, Cambridge University Press, vol. 12(3), pages 409-431, August.
    63. Michael Brien & Christopher Swann, 2001. "Does Participation in Multiple Welfare Programs Improve Birth Outcomes?," JCPR Working Papers 212, Northwestern University/University of Chicago Joint Center for Poverty Research.
    64. Islam, Mouyid, 2015. "Multi-Vehicle Crashes Involving Large Trucks: A Random Parameter Discrete Outcome Modeling Approach," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 54(1).
    65. John Geweke & Michael P. Keane & David E. Runkle, 1994. "Statistical inference in the multinomial multiperiod probit model," Staff Report 177, Federal Reserve Bank of Minneapolis.
    66. Andreas Lange & Andreas Löschel & Carsten Vogt & Andreas Ziegler, 2009. "On the Self-interested Use of Equity in International Climate Negotiations," NBER Working Papers 14930, National Bureau of Economic Research, Inc.
    67. Ziegler, Andreas & Schwarzkopf, Julia & Hoffmann, Volker H., 2012. "Stated versus revealed knowledge: Determinants of offsetting CO2 emissions from fuel consumption in vehicle use," Energy Policy, Elsevier, vol. 40(C), pages 422-431.
    68. Fernandez-Cornejo, Jorge & Hendricks, Chad, 2003. "Off-Farm Work And The Economic Impact Of Adopting Herbicide-Tolerant Crops," 2003 Annual meeting, July 27-30, Montreal, Canada 22130, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    69. Victoria Prowse, 2009. "Estimating labour supply elasticities under rationing: a structural model of time allocation behaviour," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 42(1), pages 90-112, February.
    70. Marco A. Palma & Dmitry V. Vedenov & David Bessler, 2020. "The order of variables, simulation noise, and accuracy of mixed logit estimates," Empirical Economics, Springer, vol. 58(5), pages 2049-2083, May.
    71. Hugo Reis, 2020. "Girls' Schooling Choices And Home Production: Evidence From Pakistan," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(2), pages 783-819, May.
    72. Wang, Huiwen & Liu, Qiang & Mok, Henry M.K. & Fu, Linghui & Tse, Wai Man, 2007. "A hyperspherical transformation forecasting model for compositional data," European Journal of Operational Research, Elsevier, vol. 179(2), pages 459-468, June.
    73. Geweke, John & Keane, Michael & Runkle, David, 1994. "Recursively Simulating Multinomial Multiperiod Probit Probabilities," MPRA Paper 55140, University Library of Munich, Germany.
    74. Engel, Dirk & Procher, Vivien & Schmidt, Christoph M., 2013. "Does firm heterogeneity affect foreign market entry and exit symmetrically? Empirical evidence for French firms," Journal of Economic Behavior & Organization, Elsevier, vol. 85(C), pages 35-47.
    75. Patrick Bajari & C. Lanier Benkard, 2001. "Demand Estimation With Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," NBER Technical Working Papers 0272, National Bureau of Economic Research, Inc.
    76. Rinus Haaijer & Michel Wedel & Marco Vriens & Tom Wansbeek, 1998. "Utility Covariances and Context Effects in Conjoint MNP Models," Marketing Science, INFORMS, vol. 17(3), pages 236-252.
    77. Andreas Ziegler, 2010. "Individual Characteristics and Stated Preferences for Alternative Energy Sources and Propulsion Technologies in Vehicles: A Discrete Choice Analysis," CER-ETH Economics working paper series 10/125, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    78. Ricardo Smith Ramírez, 2007. "FIML estimation of treatment effect models with endogenous selection and multiple censored responses via a Monte Carlo EM Algorithm," Working papers DTE 403, CIDE, División de Economía.
    79. Boucher, Vincent & Dedewanou, F. Antoine & Dufays, Arnaud, 2022. "Peer-induced beliefs regarding college participation," Economics of Education Review, Elsevier, vol. 90(C).
    80. Garth John Holloway, 2020. "Sustainable Land-Use Pathway Ranking and Selection," Sustainability, MDPI, vol. 12(19), pages 1-31, September.
    81. William Greene, 2001. "Fixed and Random Effects in Nonlinear Models," Working Papers 01-01, New York University, Leonard N. Stern School of Business, Department of Economics.
    82. Ziegler, Andreas, 2002. "Simulated Classical Tests in the Multiperiod Multinomial Probit Model," ZEW Discussion Papers 02-38, ZEW - Leibniz Centre for European Economic Research.
    83. Erdem, Tulin & Keane, Michael P. & Sun, Baohong, 1998. "Missing price and coupon availability data in scanner panels: Correcting for the self-selection bias in choice model parameters," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 177-196, November.
    84. Andreas Ziegler, 2017. "Economic calculus or personal and social values? A micro-econometric analysis of the acceptance of climate and energy policy measures," MAGKS Papers on Economics 201716, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    85. Ziegler, Andreas & Schröder, Michael, 2006. "What Determines the Inclusion in a Sustainability Stock Index? A Panel Data Analysis for European Companies," ZEW Discussion Papers 06-041, ZEW - Leibniz Centre for European Economic Research.
    86. Bel, K. & Paap, R., 2014. "A Multivariate Model for Multinomial Choices," Econometric Institute Research Papers EI 2014-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    87. Carole Brunet & Nathalie Havet, 2011. "Homeownership and job-match quality in France," Working Papers halshs-00649088, HAL.
    88. Patrick Bajari & C. Lanier Benkard, 2001. "Demand Estimation With Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," Working Papers 01010, Stanford University, Department of Economics.
    89. Park, Sang Soo & Lee, Chung-Ki, 2011. "베이지안 추정법을 이용한 주택선택의 다항프로빗 모형 분석 [Analysis of housing choice using multinomial probit model – Bayesian estimation]," MPRA Paper 37150, University Library of Munich, Germany.
    90. Ziegler, Andreas, 2012. "Individual characteristics and stated preferences for alternative energy sources and propulsion technologies in vehicles: A discrete choice analysis for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1372-1385.
    91. Andriy Norets, 2009. "Inference in Dynamic Discrete Choice Models With Serially orrelated Unobserved State Variables," Econometrica, Econometric Society, vol. 77(5), pages 1665-1682, September.
    92. Joel L. Horowitz & Lars Nesheim, 2018. "Using penalized likelihood to select parameters in a random coefficients multinomial logit model," CeMMAP working papers CWP29/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    93. Golob, Thomas F. & Regan, A C, 2002. "Trucking Industry Adoption of Information Technology: A Structural Multivariate Probit Model," University of California Transportation Center, Working Papers qt9w1988t7, University of California Transportation Center.
    94. Raja Chakir & Olivier Parent, 2009. "Determinants of land use changes: A spatial multinomial probit approach," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 327-344, June.
    95. Michael P. Keane, 2013. "Panel data discrete choice models of consumer demand," Economics Papers 2013-W08, Economics Group, Nuffield College, University of Oxford.
    96. Andreas Lange & Andreas Ziegler, 2017. "Offsetting Versus Mitigation Activities to Reduce $$\hbox {CO}_{2}$$ CO 2 Emissions: A Theoretical and Empirical Analysis for the U.S. and Germany," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 66(1), pages 113-133, January.
    97. Aßmann, Christian, 2008. "Assessing the Effect of Current Account and Currency Crises on Economic Growth," Economics Working Papers 2008-01, Christian-Albrechts-University of Kiel, Department of Economics.
    98. Ricardo A. Daziano & Martin Achtnicht, 2014. "Forecasting Adoption of Ultra-Low-Emission Vehicles Using Bayes Estimates of a Multinomial Probit Model and the GHK Simulator," Transportation Science, INFORMS, vol. 48(4), pages 671-683, November.
    99. Harris, Katherine M. & Keane, Michael P., 1998. "A model of health plan choice:: Inferring preferences and perceptions from a combination of revealed preference and attitudinal data," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 131-157, November.
    100. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    101. Fernandez-Cornejo, Jorge & Hendricks, Chad, 2003. "Off-Farm Work And The Adoption Of Herbicide-Tolerant Soybeans," 2003 Annual Meeting, February 1-5, 2003, Mobile, Alabama 35133, Southern Agricultural Economics Association.
    102. Canaviri, Jose, 2007. "A Random Parameter Logit model for modeling Health Care Provider Choice in Bolivia," MPRA Paper 3263, University Library of Munich, Germany.
    103. W. Kuiper & Anton Cozijnsen, 2011. "The Performance of German Firms in the Business-Related Service Sectors Revisited: Differential Evolution Markov Chain Estimation of the Multinomial Probit Model," Computational Economics, Springer;Society for Computational Economics, vol. 37(4), pages 331-362, April.
    104. Klaus Rennings & Andreas Ziegler & Thomas Zwick, 2004. "The effect of environmental innovations on employment changes: an econometric analysis," Business Strategy and the Environment, Wiley Blackwell, vol. 13(6), pages 374-387, November.
    105. Gonzalez, M. & Minguez, R., 2005. "A Study of Country-Risk for Non-Developed Countries in 1980-2000," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 5(1).
    106. Domanski, Adam, 2009. "Estimating Mixed Logit Recreation Demand Models With Large Choice Sets," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49413, Agricultural and Applied Economics Association.
    107. Ribar, D.C., 1995. "The Effects of Teenage Fertility on Young Adult Childbearing," Papers 6-95-1, Pennsylvania State - Department of Economics.
    108. Rennings, Klaus & Ziegler, Andreas, 2004. "Determinants of Environmental Innovations in Germany: Do Organizational Measures Matter? A Discrete Choice Analysis at the Firm Level," ZEW Discussion Papers 04-30, ZEW - Leibniz Centre for European Economic Research.
    109. Damien McParland & Isobel Claire Gormley, 2016. "Model based clustering for mixed data: clustMD," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 10(2), pages 155-169, June.
    110. Akoten, John E & Sawada, Yasuyuki & Otsuka, Keijiro, 2006. "The Determinants of Credit Access and Its Impacts on Micro and Small Enterprises: The Case of Garment Producers in Kenya," Economic Development and Cultural Change, University of Chicago Press, vol. 54(4), pages 927-944, July.
    111. Seongkyoon Jeong & Jae Young Choi & Jaeyun Kim, 2011. "The determinants of research collaboration modes: exploring the effects of research and researcher characteristics on co-authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 967-983, December.
    112. Ziegler, Andreas, 2001. "Simulated z-tests in multinomial probit models," ZEW Discussion Papers 01-53, ZEW - Leibniz Centre for European Economic Research.
    113. Fernandez-Cornejo, Jorge & Mishra, Ashok K. & Nehring, Richard F. & Hendricks, Chad & Southern, Malaya & Gregory, Alexandra, 2007. "Off-Farm Income, Technology Adoption, And Farm Economic Performance," Economic Research Report 7234, United States Department of Agriculture, Economic Research Service.
    114. RUGE-MURCIA, Francisco J., 2002. "Some Implications of the Zero Lower Bound on Interest Rates for the Term Structure and Monetary Policy," Cahiers de recherche 2002-06, Universite de Montreal, Departement de sciences economiques.
    115. Piatek, Rémi & Gensowski, Miriam, 2017. "A Multinomial Probit Model with Latent Factors: Identification and Interpretation without a Measurement System," IZA Discussion Papers 11042, Institute of Labor Economics (IZA).
    116. Riddel, Mary C., 2001. "Simulated Maximum Likelihood For Double-Bounded Referendum Models," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(2), pages 1-17, December.
    117. Daziano, Ricardo A. & Achtnicht, Martin, 2012. "Forecasting adoption of ultra-low-emission vehicles using the GHK simulator and Bayes estimates of a multinomial probit model," ZEW Discussion Papers 12-017, ZEW - Leibniz Centre for European Economic Research.
    118. William Greene, 2007. "Discrete Choice Modeling," Working Papers 07-6, New York University, Leonard N. Stern School of Business, Department of Economics.
    119. Ziegler Andreas, 2010. "Z-Tests in Multinomial Probit Models under Simulated Maximum Likelihood Estimation: Some Small Sample Properties," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(5), pages 630-652, October.
    120. Lee, Lung-Fei, 1997. "Simulated maximum likelihood estimation of dynamic discrete choice statistical models some Monte Carlo results," Journal of Econometrics, Elsevier, vol. 82(1), pages 1-35.
    121. Raquel Bernal, 2004. "Employment and Child Care Decisions of Mothers and the Well-being of their Children," Econometric Society 2004 North American Winter Meetings 361, Econometric Society.
    122. Abay, Kibrom A., 2015. "Evaluating simulation-based approaches and multivariate quadrature on sparse grids in estimating multivariate binary probit models," Economics Letters, Elsevier, vol. 126(C), pages 51-56.
    123. Benkard, C. Lanier & Bajari, Patrick, 2001. "Demand Estimation with Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," Research Papers 1691, Stanford University, Graduate School of Business.
    124. Daziano, Ricardo A., 2015. "Inference on mode preferences, vehicle purchases, and the energy paradox using a Bayesian structural choice model," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 1-26.
    125. Zhang, Xiao & Boscardin, W. John & Belin, Thomas R., 2008. "Bayesian analysis of multivariate nominal measures using multivariate multinomial probit models," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3697-3708, March.
    126. Dan Bernhardt & Chi Wan & Zhijie Xiao, 2016. "The Reluctant Analyst," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 987-1040, September.
    127. Holloway, Garth J. & Barrett, Christopher B. & Ehui, Simeon K., 2002. "Bayes' Estimates Of The Double Hurdle Model In The Presence Of Fixed Costs," Working Papers 14741, Cornell University, Department of Applied Economics and Management.
    128. Müller, Tobias & Boes, Stefan, 2016. "Disability Insurance Benefits and Labor Supply Choices: Evidence from a Discontinuity in Benefit Awards," MPRA Paper 70957, University Library of Munich, Germany.
    129. Ruben Loaiza-Maya & Didier Nibbering, 2020. "Scalable Bayesian estimation in the multinomial probit model," Papers 2007.13247, arXiv.org, revised Mar 2021.
    130. Andreas Ziegler, 2008. "Disentangling Specific Subsets of Innovations : A Micro-Econometric Analysis of their Determinants," CER-ETH Economics working paper series 08/100, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    131. Imai, Kosuke & van Dyk, David A., 2005. "A Bayesian analysis of the multinomial probit model using marginal data augmentation," Journal of Econometrics, Elsevier, vol. 124(2), pages 311-334, February.
    132. E.I.T, Mouyid Islam & Hernandez, Salvador, 2012. "Multi-vehicle Collisions involving Large Trucks on Highways: An Exploratory Discrete Outcome Analysis," 53rd Annual Transportation Research Forum, Tampa, Florida, March 15-17, 2012 207113, Transportation Research Forum.
    133. Ziegler, Andreas, 2019. "The Relevance of Attitudinal Factors for the Acceptance of Energy Policy Measures: A Micro-econometric Analysis," Ecological Economics, Elsevier, vol. 157(C), pages 129-140.
    134. Fok, D. & Paap, R., 2019. "New Misspecification Tests for Multinomial Logit Models," Econometric Institute Research Papers EI2019-24, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    135. Bajari, Patrick & Benkard, C. Lanier, 2004. "Demand Estimation With Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," Research Papers 1842, Stanford University, Graduate School of Business.
    136. C. Lanier Benkard & Patrick Bajari, 2004. "Demand Estimation with Heterogeneous Consumers and Unobserved Product Characteristics: A Hedonic Approach," NBER Working Papers 10278, National Bureau of Economic Research, Inc.
    137. Xuemei Fu & Zhicai Juan, 2017. "Estimation of multinomial probit-kernel integrated choice and latent variable model: comparison on one sequential and two simultaneous approaches," Transportation, Springer, vol. 44(1), pages 91-116, January.
    138. Michael Peress, 2011. "Securing the base: electoral competition under variable turnout," Public Choice, Springer, vol. 148(1), pages 87-104, July.
    139. Sylvia Kaufmann, 2016. "Hidden Markov models in time series, with applications in economics," Working Papers 16.06, Swiss National Bank, Study Center Gerzensee.
    140. Mesa-Arango, Rodrigo & Ukkusuri, Satish V., 2014. "Attributes driving the selection of trucking services and the quantification of the shipper’s willingness to pay," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 142-158.
    141. Shigeru Matsumoto, 2014. "The Opportunity Cost of Pro-Environmental Activities: Spending Time to Promote the Environment," Journal of Family and Economic Issues, Springer, vol. 35(1), pages 119-130, March.
    142. Denis Bolduc & Bernard Fortin & France Labrecque & Paul Lanoie, 1997. "Incentive Effects of Public Insurance Programs on the Occurence and the Composition of Workplace Injuries," CIRANO Working Papers 97s-24, CIRANO.
    143. Vassilis A. Hajivassiliou, 1993. "Simulating Normal Rectangle Probabilities and Their Derivatives: The Effects of Vectorization," Cowles Foundation Discussion Papers 1049, Cowles Foundation for Research in Economics, Yale University.
    144. Gould, Brian W. & Dong, Diansheng, 2000. "The Decision Of When To Buy A Frequently Purchased Good: A Multi-Period Probit Model," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-17, December.
    145. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    146. Joel L. Horowitz & N. E. Savin, 2001. "Binary Response Models: Logits, Probits and Semiparametrics," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 43-56, Fall.
    147. Monfardini, Chiara, 2003. "An illustration of Cox's non-nested testing procedure for logit and probit models," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 425-444, March.
    148. Wang, Xiaokun (Cara) & Kockelman, Kara M. & Lemp, Jason D., 2012. "The dynamic spatial multinomial probit model: analysis of land use change using parcel-level data," Journal of Transport Geography, Elsevier, vol. 24(C), pages 77-88.
    149. Geweke, John & Houser, Dan & Keane, Michael, 1999. "Simulation Based Inference for Dynamic Multinomial Choice Models," MPRA Paper 54279, University Library of Munich, Germany.
    150. Araña, Jorge E. & León, Carmelo J., 2009. "Understanding the use of non-compensatory decision rules in discrete choice experiments: The role of emotions," Ecological Economics, Elsevier, vol. 68(8-9), pages 2316-2326, June.
    151. González, M. & Minguez, R., 2005. "The Method Of Simulated Maximum Likelihood For The Estimaton Of Dynamic Ordered Probit: An Application To Country-Risk For Non-Developed Countries," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(3), pages 99-133.
    152. Aßmann, Christian, 2007. "Determinants and Costs of Current Account Reversals under Heterogeneity and Serial Correlation," Economics Working Papers 2007-17, Christian-Albrechts-University of Kiel, Department of Economics.
    153. Victoria Prowse, 2005. "State Dependence in a Multi-state Model of Employment," Economics Papers 2005-W20, Economics Group, Nuffield College, University of Oxford.
    154. Andreas Ziegler, 2007. "Simulated classical tests in multinomial probit models," Statistical Papers, Springer, vol. 48(4), pages 655-681, October.

  29. Geweke, John & Keane, Michael & Runkle, David, 1994. "Recursively Simulating Multinomial Multiperiod Probit Probabilities," MPRA Paper 55140, University Library of Munich, Germany.

    Cited by:

    1. Zhang, Xiao & Boscardin, W. John & Belin, Thomas R. & Wan, Xiaohai & He, Yulei & Zhang, Kui, 2015. "A Bayesian method for analyzing combinations of continuous, ordinal, and nominal categorical data with missing values," Journal of Multivariate Analysis, Elsevier, vol. 135(C), pages 43-58.
    2. Zhang, Xiao & Boscardin, W. John & Belin, Thomas R., 2008. "Bayesian analysis of multivariate nominal measures using multivariate multinomial probit models," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3697-3708, March.

  30. John Geweke, 1994. "Variable selection and model comparison in regression," Working Papers 539, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Golan, Amos, 2001. "A simultaneous estimation and variable selection rule," Journal of Econometrics, Elsevier, vol. 101(1), pages 165-193, March.
    2. Gordon, S. & Belanger, G., 1995. "Echantillonnage de Gibbs et autres application econometriques des chaines merkoviennes," Papers 9509, Laval - Recherche en Politique Economique.
    3. Mike G. Tsionas, 2016. "Alternative Bayesian compression in Vector Autoregressions and related models," Working Papers 216, Bank of Greece.
    4. Mike G. Tsionas, 2016. "Alternatives to large VAR, VARMA and multivariate stochastic volatility models," Working Papers 217, Bank of Greece.

  31. John Geweke & Michael P. Keane & David E. Runkle, 1994. "Statistical inference in the multinomial multiperiod probit model," Staff Report 177, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Rendtel, Ulrich & Kaltenborn, Ulrich, 2004. "The stability of simulation based estimation of the multiperiod multinominal probit model with individual specific covariates," Discussion Papers 2004/5, Free University Berlin, School of Business & Economics.
    2. Florian Heiss, 2008. "Sequential numerical integration in nonlinear state space models for microeconometric panel data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 373-389.
    3. Heiss, Florian & Winschel, Viktor, 2008. "Likelihood approximation by numerical integration on sparse grids," Journal of Econometrics, Elsevier, vol. 144(1), pages 62-80, May.
    4. Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2001. "Comparing dynamic equilibrium economies to data," FRB Atlanta Working Paper 2001-23, Federal Reserve Bank of Atlanta.
    5. Ricardo A. Daziano & Luis Miranda-Moreno & Shahram Heydari, 2013. "Computational Bayesian Statistics in Transportation Modeling: From Road Safety Analysis to Discrete Choice," Transport Reviews, Taylor & Francis Journals, vol. 33(5), pages 570-592, September.
    6. William Greene, 2003. "Simulated Likelihood Estimation of the Normal-Gamma Stochastic Frontier Function," Journal of Productivity Analysis, Springer, vol. 19(2), pages 179-190, April.
    7. Kasahara, Hiroyuki & Rodrigue, Joel, 2008. "Does the use of imported intermediates increase productivity? Plant-level evidence," Journal of Development Economics, Elsevier, vol. 87(1), pages 106-118, August.
    8. Natarajan, Ranjini & McCulloch, Charles E. & Kiefer, Nicholas M., 2000. "A Monte Carlo EM method for estimating multinomial probit models," Computational Statistics & Data Analysis, Elsevier, vol. 34(1), pages 33-50, July.
    9. Daniel Ackerberg, 2009. "A new use of importance sampling to reduce computational burden in simulation estimation," Quantitative Marketing and Economics (QME), Springer, vol. 7(4), pages 343-376, December.
    10. Prowse, Victoria L., 2005. "State Dependence in a Multi-State Model of Employment Dynamics," IZA Discussion Papers 1623, Institute of Labor Economics (IZA).
    11. Mohamed Lachaab & Asim Ansari & Kamel Jedidi & Abdelwahed Trabelsi, 2006. "Modeling preference evolution in discrete choice models: A Bayesian state-space approach," Quantitative Marketing and Economics (QME), Springer, vol. 4(1), pages 57-81, March.
    12. Zhang, Xiao & Boscardin, W. John & Belin, Thomas R. & Wan, Xiaohai & He, Yulei & Zhang, Kui, 2015. "A Bayesian method for analyzing combinations of continuous, ordinal, and nominal categorical data with missing values," Journal of Multivariate Analysis, Elsevier, vol. 135(C), pages 43-58.
    13. Victoria Prowse, 2012. "Modeling Employment Dynamics With State Dependence and Unobserved Heterogeneity," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 411-431, April.
    14. Wainaina, Priscilla Wairimu & Tongruksawattana, Songporne & Qaim, Matin, 2014. "Improved seeds, fertilizer or natural resource management? Evidence from Kenya’s smallholder maize farmers," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182644, European Association of Agricultural Economists.
    15. John Geweke & Michael P. Keane, 1997. "Mixture of normals probit models," Staff Report 237, Federal Reserve Bank of Minneapolis.
    16. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    17. Hielke Buddelmeyer & Kenneth Troske, 2004. "Joint estimation of sequential labor force participation and fertility decisions using Markov chain Monte Carlo techniques," Econometric Society 2004 North American Winter Meetings 334, Econometric Society.
    18. Benchimol, Jonathan & Fourçans, André, 2012. "The role of money and monetary policy in crisis periods: the Euro area case," ESSEC Working Papers WP1201, ESSEC Research Center, ESSEC Business School, revised 27 Feb 2012.
    19. Karthik K. Srinivasan & Hani S. Mahmassani, 2005. "A Dynamic Kernel Logit Model for the Analysis of Longitudinal Discrete Choice Data: Properties and Computational Assessment," Transportation Science, INFORMS, vol. 39(2), pages 160-181, May.
    20. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    21. Arabinda Das, 2015. "Copula-based Stochastic Frontier Model with Autocorrelated Inefficiency," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 7(2), pages 111-126, June.
    22. Priscilla Wainaina & Songporne Tongruksawattana & Matin Qaim, 2016. "Tradeoffs and complementarities in the adoption of improved seeds, fertilizer, and natural resource management technologies in Kenya," Agricultural Economics, International Association of Agricultural Economists, vol. 47(3), pages 351-362, May.
    23. Koop, Gary M & Tobias, Justin, 2006. "Semiparametric Bayesian Inference in Smooth Coefficient Models," Staff General Research Papers Archive 12202, Iowa State University, Department of Economics.
    24. Diansheng Dong & Chanjin Chung & Harry Kaiser, 2004. "Modelling milk purchasing behaviour with a panel data double-hurdle model," Applied Economics, Taylor & Francis Journals, vol. 36(8), pages 769-779.
    25. Xingcai Zhou & Xinsheng Liu, 2008. "The Monte Carlo EM method for estimating multinomial probit latent variable models," Computational Statistics, Springer, vol. 23(2), pages 277-289, April.
    26. Susumu Imai & Hajime Katayama & Kala Krishna, 2006. "Crime and Young Men: The Role of Arrest, Criminal Experience, and Heterogeneity," NBER Working Papers 12221, National Bureau of Economic Research, Inc.
    27. Francesco Zanetti & Federico S. Mandelman, 2013. "Flexible prices, labor market frictions and the response of employment to technology shocks," Economics Series Working Papers 683, University of Oxford, Department of Economics.
    28. William E. Griffiths & R. Carter Hill & Christopher J. O'Donnell, 2001. "Including Prior Information in Probit Model Estimation," Department of Economics - Working Papers Series 816, The University of Melbourne.
    29. Relwendé Sawadogo & Gervasio Semedo, 2021. "Financial inclusion, income inequality, and institutions in sub-Saharan Africa: Identifying cross-country inequality regimes," Post-Print hal-03578634, HAL.
    30. Buonanno, Paolo & Pozzoli, Dario, 2008. "Early Labour Market Returns to College Subjects," Working Papers 08-10, University of Aarhus, Aarhus School of Business, Department of Economics.
    31. William Greene, 2002. "Convenient estimators for the panel probit model: Further results," Working Papers 02-06, New York University, Leonard N. Stern School of Business, Department of Economics.
    32. Xiaokun Wang & Kara M. Kockelman, 2009. "Baysian Inference For Ordered Response Data With A Dynamic Spatial‐Ordered Probit Model," Journal of Regional Science, Wiley Blackwell, vol. 49(5), pages 877-913, December.
    33. Jonathan Benchimol, 2016. "Money and monetary policy in Israel during the last decade," Post-Print hal-01272174, HAL.
    34. Rennings, Klaus & Ziegler, Andreas & Zwick, Thomas, 2001. "Employment changes in environmentally innovative firms," ZEW Discussion Papers 01-46, ZEW - Leibniz Centre for European Economic Research.
    35. Kenneth Troske & Alexandru Voicu, 2013. "The effect of the timing and spacing of births on the level of labor market involvement of married women," Empirical Economics, Springer, vol. 45(1), pages 483-521, August.
    36. Eduardo Beamonte & José Bermúdez, 2003. "A bayesian semiparametric analysis for additive Hazard models with censored observations," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 12(2), pages 347-363, December.
    37. Olaf Hübler, 2006. "Multilevel and nonlinear panel data models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 121-136, March.
    38. Geweke, John & Keane, Michael & Runkle, David, 1994. "Recursively Simulating Multinomial Multiperiod Probit Probabilities," MPRA Paper 55140, University Library of Munich, Germany.
    39. Liesenfeld, Roman & Richard, Jean-François, 2010. "The dynamic invariant multinomial probit model: Identification, pretesting and estimation," Journal of Econometrics, Elsevier, vol. 155(2), pages 117-127, April.
    40. Tether, B. & Bascavusoglu-Moreau, E., 2012. "A Different Path to Growth? Service Innovation and Performance amongst UK Manufacturers," Working Papers wp433, Centre for Business Research, University of Cambridge.
    41. Wainaina, Priscilla & Tongruksawattana, Songporne & Qaim, Matin, 2014. "Tradeoffs and Complementarities in the Adoption of Improved Seeds, Fertilizer, and Natural Resource Management Technologies in Kenya," GlobalFood Discussion Papers 189914, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    42. Andreas Ziegler, 2010. "Individual Characteristics and Stated Preferences for Alternative Energy Sources and Propulsion Technologies in Vehicles: A Discrete Choice Analysis," CER-ETH Economics working paper series 10/125, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    43. William Greene, 2001. "Fixed and Random Effects in Nonlinear Models," Working Papers 01-01, New York University, Leonard N. Stern School of Business, Department of Economics.
    44. Ziegler, Andreas, 2002. "Simulated Classical Tests in the Multiperiod Multinomial Probit Model," ZEW Discussion Papers 02-38, ZEW - Leibniz Centre for European Economic Research.
    45. Michele Campolieti, 2001. "Bayesian semiparametric estimation of discrete duration models: an application of the dirichlet process prior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(1), pages 1-22.
    46. Phill Wheat & Alexander D. Stead & William H. Greene, 2019. "Robust stochastic frontier analysis: a Student’s t-half normal model with application to highway maintenance costs in England," Journal of Productivity Analysis, Springer, vol. 51(1), pages 21-38, February.
    47. Paleti, Rajesh & Bhat, Chandra R., 2013. "The composite marginal likelihood (CML) estimation of panel ordered-response models," Journal of choice modelling, Elsevier, vol. 7(C), pages 24-43.
    48. Bel, K. & Paap, R., 2014. "A Multivariate Model for Multinomial Choices," Econometric Institute Research Papers EI 2014-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    49. John Geweke & Gautam Gowrisankaran & Robert J. Town, 2001. "Bayesian Inference for Hospital Quality in a Selection Model," NBER Working Papers 8497, National Bureau of Economic Research, Inc.
    50. Ziegler, Andreas, 2012. "Individual characteristics and stated preferences for alternative energy sources and propulsion technologies in vehicles: A discrete choice analysis for Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1372-1385.
    51. Muhammad Ashraf & Adnan Arshad & Praharsh M. Patel & Adeel Khan & Huma Qamar & Ristina Siti-Sundari & Muhammad Usman Ghani & Ali Amin & Jamilur Rehman Babar, 2021. "Quantifying climate-induced drought risk to livelihood and mitigation actions in Balochistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(3), pages 2127-2151, December.
    52. Flavio Lenz-Cesar & Almas Heshmati, 2009. "Determinants of Firms Cooperation in Innovation," TEMEP Discussion Papers 200927, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Nov 2009.
    53. Dong, Diansheng & Schmit, Todd M. & Kaiser, Harry M., 2003. "Modeling the Household Purchasing Process Using a Panel Data Tobit Model," Research Bulletins 122115, Cornell University, Department of Applied Economics and Management.
    54. R. Bernardini Papalia & S. Bertarelli, 1999. "Partnership among firms: Estimating the probability of contact from the Poisson model using repeated Observations," Working Papers 346, Dipartimento Scienze Economiche, Universita' di Bologna.
    55. Geweke, John & Keane, Michael P & Runkle, David, 1994. "Alternative Computational Approaches to Inference in the Multinomial Probit Model," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 609-632, November.
    56. Fernandez-Villaverde, Jesus & Francisco Rubio-Ramirez, Juan, 2004. "Comparing dynamic equilibrium models to data: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 123(1), pages 153-187, November.
    57. Muhammad Ashraf & Jayant Routray & Muhammad Saeed, 2014. "Determinants of farmers’ choice of coping and adaptation measures to the drought hazard in northwest Balochistan, Pakistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 73(3), pages 1451-1473, September.
    58. Michael P. Keane, 2013. "Panel data discrete choice models of consumer demand," Economics Papers 2013-W08, Economics Group, Nuffield College, University of Oxford.
    59. Aßmann, Christian, 2008. "Assessing the Effect of Current Account and Currency Crises on Economic Growth," Economics Working Papers 2008-01, Christian-Albrechts-University of Kiel, Department of Economics.
    60. Timothy Johnson, 2007. "Discrete Choice Models for Ordinal Response Variables: A Generalization of the Stereotype Model," Psychometrika, Springer;The Psychometric Society, vol. 72(4), pages 489-504, December.
    61. Ricardo A. Daziano & Martin Achtnicht, 2014. "Forecasting Adoption of Ultra-Low-Emission Vehicles Using Bayes Estimates of a Multinomial Probit Model and the GHK Simulator," Transportation Science, INFORMS, vol. 48(4), pages 671-683, November.
    62. Harris, Katherine M. & Keane, Michael P., 1998. "A model of health plan choice:: Inferring preferences and perceptions from a combination of revealed preference and attitudinal data," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 131-157, November.
    63. Liesenfeld, Roman & Richard, Jean-François, 2010. "Efficient estimation of probit models with correlated errors," Journal of Econometrics, Elsevier, vol. 156(2), pages 367-376, June.
    64. Hübler, Olaf, 2005. "Panel Data Econometrics: Modelling and Estimation," Hannover Economic Papers (HEP) dp-319, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    65. Michael Lechner & Stefan Lollivier & Thierry Magnac, 2005. "Parametric Binary Choice Models," University of St. Gallen Department of Economics working paper series 2005 2005-23, Department of Economics, University of St. Gallen.
    66. Klaus Rennings & Andreas Ziegler & Thomas Zwick, 2004. "The effect of environmental innovations on employment changes: an econometric analysis," Business Strategy and the Environment, Wiley Blackwell, vol. 13(6), pages 374-387, November.
    67. Oliver Rutz & Randolph Bucklin, 2012. "Does banner advertising affect browsing for brands? clickstream choice model says yes, for some," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 231-257, June.
    68. Hermann Ndoya & Simplice A. Asongu, 2022. "Digital Divide, Globalization and Income Inequality in sub-Saharan African countries: Analysing cross-country heterogeneity," Working Papers of the African Governance and Development Institute. 22/064, African Governance and Development Institute..
    69. Ziegler, Andreas, 2001. "Simulated z-tests in multinomial probit models," ZEW Discussion Papers 01-53, ZEW - Leibniz Centre for European Economic Research.
    70. Veugelers, Reinhilde & Belderbos, René & Carree, Martin A & Lokshin, Boris & Diederen, Bert, 2003. "Heterogeneity in R&D Cooperation Strategies," CEPR Discussion Papers 4021, C.E.P.R. Discussion Papers.
    71. Daziano, Ricardo A. & Achtnicht, Martin, 2012. "Forecasting adoption of ultra-low-emission vehicles using the GHK simulator and Bayes estimates of a multinomial probit model," ZEW Discussion Papers 12-017, ZEW - Leibniz Centre for European Economic Research.
    72. Ziegler Andreas, 2010. "Z-Tests in Multinomial Probit Models under Simulated Maximum Likelihood Estimation: Some Small Sample Properties," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(5), pages 630-652, October.
    73. Lee, Lung-Fei, 1997. "Simulated maximum likelihood estimation of dynamic discrete choice statistical models some Monte Carlo results," Journal of Econometrics, Elsevier, vol. 82(1), pages 1-35.
    74. Roman Liesenfeld & Guilherme Valle Moura & Jean‐François Richard, 2010. "Determinants and Dynamics of Current Account Reversals: An Empirical Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 486-517, August.
    75. Brownstone, David, 2001. "Discrete Choice Modeling for Transportation," University of California Transportation Center, Working Papers qt29v7d1pk, University of California Transportation Center.
    76. Zhang, Xiao & Boscardin, W. John & Belin, Thomas R., 2008. "Bayesian analysis of multivariate nominal measures using multivariate multinomial probit models," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3697-3708, March.
    77. Juan Pablo Atal, 2019. "Lock-in in Dynamic Health Insurance Contracts: Evidence from Chile," PIER Working Paper Archive 19-020, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    78. Dan Bernhardt & Chi Wan & Zhijie Xiao, 2016. "The Reluctant Analyst," Journal of Accounting Research, Wiley Blackwell, vol. 54(4), pages 987-1040, September.
    79. Holloway, Garth J. & Barrett, Christopher B. & Ehui, Simeon K., 2002. "Bayes' Estimates Of The Double Hurdle Model In The Presence Of Fixed Costs," Working Papers 14741, Cornell University, Department of Applied Economics and Management.
    80. Kraay, Aart & Soloaga, Isidro & Tybout, James, 2002. "Product quality, productive efficiency, and international technology diffusion : evidence from plant-level panel data," Policy Research Working Paper Series 2759, The World Bank.
    81. Troske, Kenneth & Voicu, Alexandru, 2009. "The Effect of Children on the Level of Labor Market Involvement of Married Women: What is the Role of Education?," IZA Discussion Papers 4074, Institute of Labor Economics (IZA).
    82. Richard Paap & Philip Hans Franses, 2000. "A dynamic multinomial probit model for brand choice with different long-run and short-run effects of marketing-mix variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 717-744.
    83. Griffiths, W.E., 2001. "Bayesian Inference in the Seemingly Unrelated Regressions Models," Department of Economics - Working Papers Series 793, The University of Melbourne.
    84. Rasmane Ouedraogo & Windemanegda Sandrine Sourouema & Hamidou Sawadogo, 2021. "Aid, growth and institutions in Sub‐Saharan Africa: New insights using a multiple growth regime approach," The World Economy, Wiley Blackwell, vol. 44(1), pages 107-142, January.
    85. Carboni, Oliviero A., 2013. "Heterogeneity in R&D collaboration: An empirical investigation," Structural Change and Economic Dynamics, Elsevier, vol. 25(C), pages 48-59.
    86. Cantillon, Estelle & Yin, Pai-Ling, 2007. "How and when do markets tip? Lessons from the Battle of the Bund," Working Paper Series 766, European Central Bank.
    87. Dong, Diansheng & Chung, Chanjin & Kaiser, Harry M., 2001. "Panel Data Double-Hurdle Model: An Application To Dairy Advertising," 2001 Annual meeting, August 5-8, Chicago, IL 20502, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    88. Gould, Brian W. & Dong, Diansheng, 2000. "The Decision Of When To Buy A Frequently Purchased Good: A Multi-Period Probit Model," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 25(2), pages 1-17, December.
    89. Xiaohui Zhang & Katharina Hauck & Xueyan Zhao, 2013. "Patient Safety In Hospitals – A Bayesian Analysis Of Unobservable Hospital And Specialty Level Risk Factors," Health Economics, John Wiley & Sons, Ltd., vol. 22(9), pages 1158-1174, September.
    90. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    91. Joel L. Horowitz & N. E. Savin, 2001. "Binary Response Models: Logits, Probits and Semiparametrics," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 43-56, Fall.
    92. Owusu, Victor & Abdulai, Awudu, 2009. "Joint Adoption of Safer Irrigation Technologies under Uncertainty: Evidence from Ghana," MPRA Paper 43822, University Library of Munich, Germany.
    93. Chintagunta, Pradeep & Kyriazidou, Ekaterini & Perktold, Josef, 2001. "Panel data analysis of household brand choices," Journal of Econometrics, Elsevier, vol. 103(1-2), pages 111-153, July.
    94. Victoria Prowse, 2005. "State Dependence in a Multi-state Model of Employment," Economics Papers 2005-W20, Economics Group, Nuffield College, University of Oxford.
    95. Andreas Ziegler, 2007. "Simulated classical tests in multinomial probit models," Statistical Papers, Springer, vol. 48(4), pages 655-681, October.
    96. Allenby, Greg M. & Rossi, Peter E., 1998. "Marketing models of consumer heterogeneity," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 57-78, November.

  32. Horowitz, Joel & Keane, Michael & Bolduc, Denis & Divakar, Suresh & Geweke, John & Gonul, Fosun & Hajivassiliou, Vassilis & Koppelman, Frank & Matzkin, Rosa & Rossi, Peter & Ruud, Paul, 1994. "Advances in Random Utility Models," MPRA Paper 53026, University Library of Munich, Germany.

    Cited by:

    1. Bartels, Knut & Boztuæg, Yasemin & Müller, Marlene, 1999. "Testing the multinomial logit model," SFB 373 Discussion Papers 1999,19, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    2. Kontogianni, A. & Tourkolias, Ch. & Skourtos, M. & Damigos, D., 2014. "Planning globally, protesting locally: Patterns in community perceptions towards the installation of wind farms," Renewable Energy, Elsevier, vol. 66(C), pages 170-177.
    3. Harry Joe, 2000. "Inequalities for Random Utility Models, with Applications to Ranking and Subset Choice Data," Methodology and Computing in Applied Probability, Springer, vol. 2(4), pages 359-372, December.
    4. Fridah Chepchirchir & Beatrice W. Muriithi & Jackson Langat & Samira A. Mohamed & Shepard Ndlela & Fathiya M. Khamis, 2021. "Knowledge, Attitude, and Practices on Tomato Leaf Miner, Tuta absoluta on Tomato and Potential Demand for Integrated Pest Management among Smallholder Farmers in Kenya and Uganda," Agriculture, MDPI, vol. 11(12), pages 1-20, December.
    5. Wang, Weiren & Zhou, Mai, 1995. "Iterative Least Squares Estimator of Binary Choice Models: a Semi-Parametric Approach," MPRA Paper 46981, University Library of Munich, Germany.

  33. John Geweke, 1992. "Priors for macroeconomic time series and their application," Discussion Paper / Institute for Empirical Macroeconomics 64, Federal Reserve Bank of Minneapolis.

    Cited by:

    1. Wollmershäuser, Timo & Hristov, Nikolay & Hülsewig, Oliver & Siemsen, Thomas, 2014. "Smells Like Fiscal Policy? Assessing the Potential Effectiveness of the ECB s OMT Program," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100280, Verein für Socialpolitik / German Economic Association.
    2. Pfann, G. & Schotman, P. & Tschernig, R., 1994. "Nonlinear Interest Rate Dynamics and Implications for the Term Structure," SFB 373 Discussion Papers 1994,43, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    3. James P. Lesage, 1997. "Bayesian Estimation of Spatial Autoregressive Models," International Regional Science Review, , vol. 20(1-2), pages 113-129, April.
    4. Alain Desgagné & Jean-François Angers, 2007. "Conflicting information and location parameter inference," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 67-97.
    5. Lahiri, Kajal & Gao, Jian, 2002. "Bayesian analysis of nested logit model by Markov chain Monte Carlo," Journal of Econometrics, Elsevier, vol. 111(1), pages 103-133, November.
    6. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2007. "Estimating Macroeconomic Models: A Likelihood Approach," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(4), pages 1059-1087.
    7. Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2004. "Estimating dynamic equilibrium economies: linear versus nonlinear likelihood," FRB Atlanta Working Paper 2004-3, Federal Reserve Bank of Atlanta.
    8. Christopher A. Sims, 1992. "A Nine Variable Probabilistic Macroeconomic Forecasting Model," Cowles Foundation Discussion Papers 1034, Cowles Foundation for Research in Economics, Yale University.
    9. Chiu, Ching-Wai (Jeremy) & Mumtaz, Haroon & Pintér, Gábor, 2017. "Forecasting with VAR models: Fat tails and stochastic volatility," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1124-1143.
    10. Jean-Francois Angers, 2000. "P-credence and outliersl," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3-4), pages 81-108.
    11. Fernández, C. & Steel, M.F.J., 1996. "On Bayesian Modelling of Fat Tails and Skewness," Other publications TiSEM 0991c197-c9e8-4904-8119-3, Tilburg University, School of Economics and Management.
    12. Eric Jacquier & Nicholas G. Polson & Peter E. Rossi, 1999. "Stochastic Volatility: Univariate and Multivariate Extensions," CIRANO Working Papers 99s-26, CIRANO.
    13. Bin Chen & Jinho Choi & Juan Carlos Escanciano, 2015. "Testing for Fundamental Vector Moving Average Representations," CAEPR Working Papers 2015-022, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    14. Houser, Daniel, 2003. "Bayesian analysis of a dynamic stochastic model of labor supply and saving," Journal of Econometrics, Elsevier, vol. 113(2), pages 289-335, April.
    15. Watanabe, Toshiaki, 2001. "On sampling the degree-of-freedom of Student's-t disturbances," Statistics & Probability Letters, Elsevier, vol. 52(2), pages 177-181, April.
    16. Jesús Fernández-Villaverde, 2010. "The econometrics of DSGE models," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 3-49, March.
    17. Sauer, Johannes, 2008. "Quota Deregulation and Organic versus Conventional Milk – A Bayesian Distance Function Approach," 82nd Annual Conference, March 31 - April 2, 2008, Royal Agricultural College, Cirencester, UK 36869, Agricultural Economics Society.
    18. Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2014. "Fat-tails in VAR Models," Working Papers 714, Queen Mary University of London, School of Economics and Finance.
    19. Ghysels, E., 1993. "A Time Series Model with Periodic Stochastic Regime Switching," Cahiers de recherche 9314, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    20. Schotman, Peter, 1996. "A Bayesian approach to the empirical valuation of bond options," Journal of Econometrics, Elsevier, vol. 75(1), pages 183-215, November.
    21. Geweke, John, 1996. "Monte carlo simulation and numerical integration," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 15, pages 731-800, Elsevier.
    22. Marriott, John & Newbold, Paul, 2000. "The strength of evidence for unit autoregressive roots and structural breaks: A Bayesian perspective," Journal of Econometrics, Elsevier, vol. 98(1), pages 1-25, September.
    23. Hristov, Nikolay & Huelsewig, Oliver & Siemsen, Thomas & Wollmershaeuser, Timo, 2019. "Restoring euro area monetary transmission: Which role for government bond rates?," Munich Reprints in Economics 78269, University of Munich, Department of Economics.
    24. Tsionas, Efthymios G., 1998. "Monte Carlo inference in econometric models with symmetric stable disturbances," Journal of Econometrics, Elsevier, vol. 88(2), pages 365-401, November.
    25. Vosseler, Alexander, 2016. "Bayesian model selection for unit root testing with multiple structural breaks," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 616-630.
    26. A. Hachicha & F. Hachicha, 2021. "Analysis of the bitcoin stock market indexes using comparative study of two models SV with MCMC algorithm," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 647-673, February.
    27. Jacquier, Eric & Polson, Nicholas G. & Rossi, P.E.Peter E., 2004. "Bayesian analysis of stochastic volatility models with fat-tails and correlated errors," Journal of Econometrics, Elsevier, vol. 122(1), pages 185-212, September.
    28. Shuaimin Kang & Guangying Liu & Howard Qi & Min Wang, 2018. "Bayesian Variance Changepoint Detection in Linear Models with Symmetric Heavy-Tailed Errors," Computational Economics, Springer;Society for Computational Economics, vol. 52(2), pages 459-477, August.
    29. Helen R. Neill & David M. Hassenzahl & Djeto D. Assane, 2007. "Estimating the Effect of Air Quality: Spatial versus Traditional Hedonic Price Models," Southern Economic Journal, John Wiley & Sons, vol. 73(4), pages 1088-1111, April.
    30. Cross, Jamie & Poon, Aubrey, 2016. "Forecasting structural change and fat-tailed events in Australian macroeconomic variables," Economic Modelling, Elsevier, vol. 58(C), pages 34-51.
    31. Stuart J. Fowler & Jennifer J. Wilgus, 2011. "An Estimatable DCDP Model of Search and Matching in Real Estate Markets," Working Papers 201105, Middle Tennessee State University, Department of Economics and Finance.
    32. Jesus Fernandez-Villaverde & Juan F. Rubio-Ramirez, 2006. "The Research Agenda: Jesus Fernandez-Villaverde and Juan F. Rubio-Ramirez on Estimating DSGE Models," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 8(1), November.
    33. Jesus Fernandez-Villaverde & Juan F. Rubio-Ramirez, 2004. "Estimating Nonlinear Dynamic Equilibrium economies: A Likelihood Approach," PIER Working Paper Archive 04-001, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    34. Lori Dickes & Elizabeth Crouch, 2015. "The Impact of Changing Lake Levels on Property Values: A Hedonic Model of Lake Thurmond," The Review of Regional Studies, Southern Regional Science Association, vol. 45(3), pages 221-235, Winter.

  34. John Geweke, 1991. "Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments," Staff Report 148, Federal Reserve Bank of Minneapolis.

    Cited by:

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    2. Alquran, Marwan & Al-Khaled, Kamel & Sardar, Tridip & Chattopadhyay, Joydev, 2015. "Revisited Fisher’s equation in a new outlook: A fractional derivative approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 438(C), pages 81-93.
    3. Michael T. Owyang, 2002. "Modeling Volcker as a non-absorbing state: agnostic identification of a Markov-switching VAR," Working Papers 2002-018, Federal Reserve Bank of St. Louis.
    4. Wang, Min & Sun, Xiaoqian, 2012. "Bayesian inference for the correlation coefficient in two seemingly unrelated regressions," Computational Statistics & Data Analysis, Elsevier, vol. 56(8), pages 2442-2453.
    5. Chen, Kefei & O'Leary, Rebecca A. & Evans, Fiona H., 2019. "A simple and parsimonious generalised additive model for predicting wheat yield in a decision support tool," Agricultural Systems, Elsevier, vol. 173(C), pages 140-150.
    6. Jason Shachat & J. Todd Swarthout & Lijia Wei, 2012. "A hidden Markov model for the detection of pure and mixed strategy play in games," Experimental Economics Center Working Paper Series 2012-11, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
    7. Sylvia Kaufmann & Sylvia Frühwirth‐Schnatter, 2002. "Bayesian analysis of switching ARCH models," Journal of Time Series Analysis, Wiley Blackwell, vol. 23(4), pages 425-458, July.
    8. Rolando Gonzales & Gabriela Aguilera-Lizarazu & Andrea Rojas-Hosse & Patricia Aranda, 2016. "Preference for women but less preference for indigenous women: A lab-field experiment of loan discrimination in a developing economy," Working Papers PIERI 2016-24, PEP-PIERI.
    9. Jesús Fernández-Villaverde & Juan F. Rubio-Ramirez, 2001. "Comparing dynamic equilibrium economies to data," FRB Atlanta Working Paper 2001-23, Federal Reserve Bank of Atlanta.
    10. Tam'as Krisztin & Philipp Piribauer, 2020. "Modeling European regional FDI flows using a Bayesian spatial Poisson interaction model," Papers 2010.14856, arXiv.org.
    11. Egberto Alexander Riveros Saavedra, 2012. "¿Responde el Banco de la República a los movimientos en la tasa de cambio real?," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 30(69), pages 150-194, December.
    12. Michael T. Owyang & Jeremy M. Piger & Howard J. Wall, 2004. "Business cycle phases in U.S. states," Working Papers 2003-011, Federal Reserve Bank of St. Louis.
    13. Ejlali Nasim & Faghihi Mohammad Reza & Sadeghi Mehdi, 2017. "Bayesian comparison of protein structures using partial Procrustes distance," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 16(4), pages 243-257, September.
    14. Haiyan Liu & Ick Hoon Jin & Zhiyong Zhang & Ying Yuan, 2021. "Social Network Mediation Analysis: A Latent Space Approach," Psychometrika, Springer;The Psychometric Society, vol. 86(1), pages 272-298, March.
    15. Mengchen Wang & Trevor Harris & Bo Li, 2023. "Asynchronous Changepoint Estimation for Spatially Correlated Functional Time Series," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 28(1), pages 157-176, March.
    16. Essam A. Ahmed & Mahmoud El-Morshedy & Laila A. Al-Essa & Mohamed S. Eliwa, 2023. "Statistical Inference on the Entropy Measures of Gamma Distribution under Progressive Censoring: EM and MCMC Algorithms," Mathematics, MDPI, vol. 11(10), pages 1-30, May.
    17. David C. Wheeler & Elizabeth K. Do & Rashelle B. Hayes & Kendall Fugate-Laus & Westley L. Fallavollita & Colleen Hughes & Bernard F. Fuemmeler, 2020. "Neighborhood Disadvantage and Tobacco Retail Outlet and Vape Shop Outlet Rates," IJERPH, MDPI, vol. 17(8), pages 1-12, April.
    18. Tamás Krisztin & Philipp Piribauer, 2021. "A Bayesian Spatial Autoregressive Logit Model With An Empirical Application to European Regional FDI Flows," WIFO Working Papers 586, WIFO.
    19. Chang, Yoosoon & Maih, Junior & Tan, Fei, 2021. "Origins of monetary policy shifts: A New approach to regime switching in DSGE models," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    20. Atahan Afsar; José Elías Gallegos; Richard Jaimes; Edgar Silgado Gómez & José Elías Gallegos & Richard Jaimes & Edgar Silgado Gómez, 2020. "Reconciling Empirics and Theory: The Behavioral Hybrid New Keynesian Model," Vniversitas Económica 18560, Universidad Javeriana - Bogotá.
    21. Lee, Jung Wun & Chung, Hwan & Jeon, Saebom, 2021. "Bayesian multivariate latent class profile analysis: Exploring the developmental progression of youth depression and substance use," Computational Statistics & Data Analysis, Elsevier, vol. 161(C).
    22. Van Nguyen, Phuong, 2020. "Evaluating the forecasting accuracy of the closed- and open economy New Keynesian DSGE models," Dynare Working Papers 59, CEPREMAP.
    23. Aßmann, Christian & Boysen-Hogrefe, Jens & Pape, Markus, 2016. "Bayesian analysis of static and dynamic factor models: An ex-post approach towards the rotation problem," Journal of Econometrics, Elsevier, vol. 192(1), pages 190-206.
    24. Min Wang & Xiaoqian Sun & Tao Lu, 2015. "Bayesian structured variable selection in linear regression models," Computational Statistics, Springer, vol. 30(1), pages 205-229, March.
    25. Houssa, Romain, 2013. "Uncertainty about welfare effects of consumption fluctuations," European Economic Review, Elsevier, vol. 59(C), pages 35-62.
    26. Bai, Yizhou & Xue, Cheng, 2021. "An empirical study on the regulated Chinese agricultural commodity futures market based on skew Ornstein-Uhlenbeck model," Research in International Business and Finance, Elsevier, vol. 57(C).
    27. Aßmann, Christian & Boysen-Hogrefe, Jens & Pape, Markus, 2014. "Bayesian analysis of dynamic factor models: An ex-post approach towards the rotation problem," Kiel Working Papers 1902, Kiel Institute for the World Economy (IfW Kiel).
    28. Leung, Melvern & Fung, Man Chung & O’Hare, Colin, 2018. "A comparative study of pricing approaches for longevity instruments," Insurance: Mathematics and Economics, Elsevier, vol. 82(C), pages 95-116.
    29. Geweke, John & Zhou, Guofu, 1996. "Measuring the Pricing Error of the Arbitrage Pricing Theory," The Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 557-587.
    30. Gareth W. Peters & Mario V. Wuthrich & Pavel V. Shevchenko, 2010. "Chain ladder method: Bayesian bootstrap versus classical bootstrap," Papers 1004.2548, arXiv.org.
    31. John Geweke, 1995. "Bayesian reduced rank regression in econometrics," Working Papers 540, Federal Reserve Bank of Minneapolis.
    32. Brand, Claus & Goy, Gavin W & Lemke, Wolfgang, 2020. "Natural rate chimera and bond pricing reality," VfS Annual Conference 2020 (Virtual Conference): Gender Economics 224546, Verein für Socialpolitik / German Economic Association.
    33. Neha Choudhary & Abhishek Tyagi & Bhupendra Singh, 2022. "Analysing Load-Sharing System Model with Type-I and Type-II Failure Censored Data from Weibull Distribution," Annals of Data Science, Springer, vol. 9(4), pages 645-674, August.
    34. Ausin, Maria Concepcion & Galeano, Pedro, 2007. "Bayesian estimation of the Gaussian mixture GARCH model," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2636-2652, February.
    35. Benati, Luca & Mumtaz, Haroon, 2007. "U.S. evolving macroeconomic dynamics: a structural investigation," Working Paper Series 746, European Central Bank.
    36. Shachat, Jason & Wei, Lijia, 2013. "Discrete Rule Learning and the Bidding of the Sexes," MPRA Paper 47953, University Library of Munich, Germany.
    37. John Geweke, 1998. "Using simulation methods for Bayesian econometric models: inference, development, and communication," Staff Report 249, Federal Reserve Bank of Minneapolis.
    38. John K. Kruschke, 2021. "Bayesian Analysis Reporting Guidelines," Nature Human Behaviour, Nature, vol. 5(10), pages 1282-1291, October.
    39. Michael P. Keane & Olean Stavrunova, 2014. "Adverse Selection, Moral Hazard and the Demand for Medigap Insurance," Economics Papers 2014-W02, Economics Group, Nuffield College, University of Oxford.
    40. Feng Dai & Baumgartner Richard & Svetnik Vladimir, 2018. "A Bayesian Framework for Estimating the Concordance Correlation Coefficient Using Skew-elliptical Distributions," The International Journal of Biostatistics, De Gruyter, vol. 14(1), pages 1-8, May.
    41. Joshua L. Warren & Melanie H. Chitwood & Benjamin Sobkowiak & Caroline Colijn & Ted Cohen, 2023. "Spatial modeling of Mycobacterium tuberculosis transmission with dyadic genetic relatedness data," Biometrics, The International Biometric Society, vol. 79(4), pages 3650-3663, December.
    42. Yoomi Kim & Katsuya Tanaka & Shunji Matsuoka, 2017. "Institutional Mechanisms and the Consequences of International Environmental Agreements," Global Environmental Politics, MIT Press, vol. 17(1), pages 77-98, February.
    43. Molei Liu & Jiehuan Sun & Jose D. Herazo-Maya & Naftali Kaminski & Hongyu Zhao, 2019. "Joint Models for Time-to-Event Data and Longitudinal Biomarkers of High Dimension," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(3), pages 614-629, December.
    44. Kobayashi, Kiyoshi & Kaito, Kiyoyuki & Lethanh, Nam, 2012. "A statistical deterioration forecasting method using hidden Markov model for infrastructure management," Transportation Research Part B: Methodological, Elsevier, vol. 46(4), pages 544-561.
    45. Michael T. Owyang & Garey Ramey, 2003. "Regime switching and monetary policy measurement," Working Papers 2001-002, Federal Reserve Bank of St. Louis.
    46. Stefan Habenschuss & Zeno Jonke & Wolfgang Maass, 2013. "Stochastic Computations in Cortical Microcircuit Models," PLOS Computational Biology, Public Library of Science, vol. 9(11), pages 1-28, November.
    47. Jiafang Song & Joshua L. Warren, 2022. "A Directionally Varying Change Points Model for Quantifying the Impact of a Point Source," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 27(1), pages 46-62, March.
    48. Richardson, Robert & Kottas, Athanasios & Sansó, Bruno, 2017. "Flexible integro-difference equation modeling for spatio-temporal data," Computational Statistics & Data Analysis, Elsevier, vol. 109(C), pages 182-198.
    49. Ilias Tsiakas, 2004. "Analysis of the predictive ability of information accumulated over nights, weekends and holidays," Econometric Society 2004 Australasian Meetings 208, Econometric Society.
    50. He, Yongda & Lin, Boqiang, 2018. "Time-varying effects of cyclical fluctuations in China's energy industry on the macro economy and carbon emissions," Energy, Elsevier, vol. 155(C), pages 1102-1112.
    51. Mário Castro & Ming-Hui Chen & Joseph G. Ibrahim & John P. Klein, 2014. "Bayesian Transformation Models for Multivariate Survival Data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 41(1), pages 187-199, March.
    52. Lin Deng & Michael Stanley Smith & Worapree Maneesoonthorn, 2023. "Large Skew-t Copula Models and Asymmetric Dependence in Intraday Equity Returns," Papers 2308.05564, arXiv.org, revised Mar 2024.
    53. Chaofeng Tang & Kentaka Aruga, 2020. "A Study on the Pass-Through Rate of the Exchange Rate on the Liquid Natural Gas (LNG) Import Price in China," IJFS, MDPI, vol. 8(4), pages 1-19, November.
    54. Charles S. Bos & Ronald J. Mahieu & Herman K. Van Dijk, 2000. "Daily exchange rate behaviour and hedging of currency risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 671-696.
    55. Michele Campolieti, 2001. "Bayesian semiparametric estimation of discrete duration models: an application of the dirichlet process prior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(1), pages 1-22.
    56. Aßmann, Christian & Boysen-Hogrefe, Jens & Pape, Markus, 2012. "The directional identification problem in Bayesian factor analysis: An ex-post approach," Kiel Working Papers 1799, Kiel Institute for the World Economy (IfW Kiel).
    57. Yizhou Bai & Yongjin Wang & Haoyan Zhang & Xiaoyang Zhuo, 2022. "Bayesian Estimation of the Skew Ornstein-Uhlenbeck Process," Computational Economics, Springer;Society for Computational Economics, vol. 60(2), pages 479-527, August.
    58. Conxita FOLGUERA‐I‐BELLMUNT & Xavier FERNÁNDEZ‐I‐MARÍN & Joan Manuel BATISTA‐FOGUET, 2018. "Measuring the impact of an organizational inclusion programme on absence among employees with disabilities: A quasi‐experimental design," International Labour Review, International Labour Organization, vol. 157(4), pages 651-669, December.
    59. Joseph P. Byrne & Boulis M. Ibrahim & Xiaoyu Zong, 2020. "Asset Prices and Capital Share Risks: Theory and Evidence," Papers 2006.14023, arXiv.org.
    60. Neville Francis & Michael T. Owyang, 2004. "Monetary policy in a Markov-switching VECM: implications for the cost of disinflation and the price puzzle," Working Papers 2003-001, Federal Reserve Bank of St. Louis.
    61. Sassire Napo, 2022. "Assessing public debt sustainability under COVID‐19 uncertainty: Evidence from Côte d'Ivoire," African Development Review, African Development Bank, vol. 34(S1), pages 141-160, July.
    62. Massimiliano Marcellino & Mario Porqueddu & Fabrizio Venditti, 2016. "Short-Term GDP Forecasting With a Mixed-Frequency Dynamic Factor Model With Stochastic Volatility," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(1), pages 118-127, January.
    63. Junli Cheng & Feng Lin, 2022. "The Dynamic Effects of Urban–Rural Income Inequality on Sustainable Economic Growth under Urbanization and Monetary Policy in China," Sustainability, MDPI, vol. 14(11), pages 1-23, June.
    64. Yang, Likun & Zhao, Xinhua & Peng, Sen & Li, Xia, 2016. "Water quality assessment analysis by using combination of Bayesian and genetic algorithm approach in an urban lake, China," Ecological Modelling, Elsevier, vol. 339(C), pages 77-88.
    65. Manuel Gonzalez-Astudillo, 2018. "An Output Gap Measure for the Euro Area : Exploiting Country-Level and Cross-Sectional Data Heterogeneity," Finance and Economics Discussion Series 2018-040, Board of Governors of the Federal Reserve System (U.S.).
    66. Yalei Yang & Hao Gao & Colin Berry & David Carrick & Aleksandra Radjenovic & Dirk Husmeier, 2022. "Classification of myocardial blood flow based on dynamic contrast‐enhanced magnetic resonance imaging using hierarchical Bayesian models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(5), pages 1085-1115, November.
    67. Boeck, Maximilian & Feldkircher, Martin, 2021. "The Impact of Monetary Policy on Yield Curve Expectations," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 887-901.
    68. Dany, Geraldine, 2016. "The credit channel during times of financial stress: A time varying VAR analysis," VfS Annual Conference 2016 (Augsburg): Demographic Change 145899, Verein für Socialpolitik / German Economic Association.
    69. Tsionas, Efthymios G., 1998. "Monte Carlo inference in econometric models with symmetric stable disturbances," Journal of Econometrics, Elsevier, vol. 88(2), pages 365-401, November.
    70. Korkmaz, E. & Kuik, R. & Fok, D., 2013. ""Counting Your Customers": When will they buy next? An empirical validation of probabilistic customer base analysis models based on purchase timing," ERIM Report Series Research in Management ERS-2013-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    71. Denis Fougère & Thierry Kamionka, 2003. "Bayesian inference for the mover-stayer model in continuous time with an application to labour market transition data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(6), pages 697-723.
    72. Gong, Xu & Shi, Rong & Xu, Jun & Lin, Boqiang, 2021. "Analyzing spillover effects between carbon and fossil energy markets from a time-varying perspective," Applied Energy, Elsevier, vol. 285(C).
    73. Lee, Joohyun & Kwak, Jaewook & Lee, Hyang-Won & Shroff, Ness B., 2018. "Finding minimum node separators: A Markov chain Monte Carlo method," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 225-235.
    74. Yoosoon Chang & Fei Tan & Xin Wei, 2018. "State Space Models with Endogenous Regime Switching," CAEPR Working Papers 2018-012, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    75. Bofinger, Peter & Maas, Daniel & Ries, Mathias, 2017. "A model of the market for bank credit: The case of Germany," W.E.P. - Würzburg Economic Papers 98, University of Würzburg, Department of Economics.
    76. Tsionas, Efthymios G., 2000. "Bayesian model comparison by Markov chain simulation: Illustration using stock market data," Research in Economics, Elsevier, vol. 54(4), pages 403-416, December.
    77. Littfinski, Tobias & Stricker, Max & Nettmann, Edith & Gehring, Tito & Hiegemann, Heinz & Krimmler, Stefan & Lübken, Manfred & Pant, Deepak & Wichern, Marc, 2022. "A generalized whole-cell model for wastewater-fed microbial fuel cells," Applied Energy, Elsevier, vol. 321(C).
    78. Joshua L. Warren & Thomas J. Luben & Howard H. Chang, 2020. "A spatially varying distributed lag model with application to an air pollution and term low birth weight study," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(3), pages 681-696, June.
    79. James C. Slaughter & Amy H. Herring & John M. Thorp, 2009. "A Bayesian Latent Variable Mixture Model for Longitudinal Fetal Growth," Biometrics, The International Biometric Society, vol. 65(4), pages 1233-1242, December.
    80. Peters, Gareth W. & Wüthrich, Mario V. & Shevchenko, Pavel V., 2010. "Chain ladder method: Bayesian bootstrap versus classical bootstrap," Insurance: Mathematics and Economics, Elsevier, vol. 47(1), pages 36-51, August.
    81. Wang, Yiyi & Kockelman, Kara M. & Xiaokun (Cara) Wang, Xiaokun (Cara) Wang, 2013. "The impact of weight matrices on parameter estimation and inference: A case study of binary response using land-use data," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(3), pages 75-85.
    82. Magnus Reif, 2018. "Macroeconomic Uncertainty and Forecasting Macroeconomic Aggregates," ifo Working Paper Series 265, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    83. Jason Shachat & J. Todd Swarthout & Lijia Wei, 2011. "Man versus Nash An experiment on the self-enforcing nature of mixed strategy equilibrium," Working Papers 1101, Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory, revised 21 Feb 2011.
    84. Kerenaftali Klein & Stefanie Hennig & Sanjoy Ketan Paul, 2016. "A Bayesian Modelling Approach with Balancing Informative Prior for Analysing Imbalanced Data," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-12, April.
    85. Joshua L. Warren, 2020. "A Nonstationary Spatial Covariance Model for Processes Driven by Point Sources," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 25(3), pages 415-430, September.
    86. Salabasis, Mickael, 2004. "Parametric covariance matrix modeling in Bayesian panel regression," SSE/EFI Working Paper Series in Economics and Finance 565, Stockholm School of Economics, revised 16 Feb 2005.
    87. Shirin Fallahi & Hans J Skaug & Guttorm Alendal, 2020. "A comparison of Monte Carlo sampling methods for metabolic network models," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-24, July.
    88. Rolando Gonzales Martínez & Gabriela Aguilera‐Lizarazu & Andrea Rojas‐Hosse & Patricia Aranda Blanco, 2020. "The interaction effect of gender and ethnicity in loan approval: A Bayesian estimation with data from a laboratory field experiment," Review of Development Economics, Wiley Blackwell, vol. 24(3), pages 726-749, August.
    89. Abbigail J. Chiodo & Michael T. Owyang, 2002. "Duration dependence in monetary policy: international evidence," Working Papers 2002-021, Federal Reserve Bank of St. Louis.
    90. Jia Liu & Olivier Toubia, 2018. "A Semantic Approach for Estimating Consumer Content Preferences from Online Search Queries," Marketing Science, INFORMS, vol. 37(6), pages 930-952, November.
    91. Paul Viefers, 2011. "Bayesian Inference for the Mixed-Frequency VAR Model," Discussion Papers of DIW Berlin 1172, DIW Berlin, German Institute for Economic Research.
    92. Piribauer, Philipp & Glocker, Christian & Krisztin, Tamás, 2023. "Beyond distance: The spatial relationships of European regional economic growth," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
    93. Mohamad Husam Helmi & Mohammed I. Abu Eleyan & Abdurrahman Nazif Çatık & Esra Ballı, 2023. "The Time-Varying Effects of Oil Shocks on the Trade Balance of Saudi Arabia," Resources, MDPI, vol. 12(5), pages 1-18, April.
    94. Monfort, Abel & Villagra, Nuria & Sánchez, Joaquín, 2021. "Economic impact of corporate foundations: An event analysis approach," Journal of Business Research, Elsevier, vol. 122(C), pages 159-170.
    95. Michael Debabrata Patra & Joice John, 2018. "Non-Linear, Asymmetric and TimeVarying Exchange Rate Pass-Through: Recent Evidence from India," Working Papers id:12700, eSocialSciences.
    96. Anne Balter & Antoon Pelsser & Peter Schotman, 2013. "Extrapolating the term structure of interest rates with parameter uncertainty," Papers 1312.5073, arXiv.org.
    97. Gao, Rui & Li, Yaqiong & Lin, Lisha, 2019. "Bayesian statistical inference for European options with stock liquidity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 518(C), pages 312-322.
    98. Elizabeth Eisenhauer & Ephraim Hanks, 2020. "A lattice and random intermediate point sampling design for animal movement," Environmetrics, John Wiley & Sons, Ltd., vol. 31(6), September.
    99. Danila Azzolina & Giulia Lorenzoni & Silvia Bressan & Liviana Da Dalt & Ileana Baldi & Dario Gregori, 2021. "Handling Poor Accrual in Pediatric Trials: A Simulation Study Using a Bayesian Approach," IJERPH, MDPI, vol. 18(4), pages 1-16, February.
    100. Eiji Goto, 2020. "Industry Impacts of Unconventional Monetary Policy," 2020 Papers pgo873, Job Market Papers.
    101. Joshua L. Warren & Jiachen Cai & Nicholaus P. Johnson & Nicole C. Deziel, 2022. "A discrete kernel stick‐breaking model for detecting spatial boundaries in hydraulic fracturing wastewater disposal well placement across Ohio," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(1), pages 175-193, January.
    102. Adam Martin-Schwarze & Jarad Niemi & Philip Dixon, 2017. "Assessing the Impacts of Time-to-Detection Distribution Assumptions on Detection Probability Estimation," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 22(4), pages 465-480, December.

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    8. Jeanette A.M.J. Deetlefs & Mathew Chylinski & Andreas Ortmann, 2015. "MTurk ‘Unscrubbed’: Exploring the good, the ‘Super’, and the unreliable on Amazon’s Mechanical Turk," Discussion Papers 2015-20, School of Economics, The University of New South Wales.
    9. Adam Butt & M. Scott Donald & F. Douglas Foster & Susan Thorp & Geoffrey J. Warren & Tom Smith, 2017. "Design of MySuper default funds: influences and outcomes," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(1), pages 47-85, March.
    10. Jin Sug Yang & Anna Bedford & Martin Bugeja, 2023. "Director expertise and co‐option in industry superannuation funds?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(S1), pages 1249-1283, April.
    11. F. Douglas Foster & Juliana Ng & Marvin Wee, 2015. "Presentation Format and Financial Literacy: Accessibility and Assessability of Retirement Savings Statements," Journal of Consumer Affairs, Wiley Blackwell, vol. 49(3), pages 519-549, November.
    12. Elizabeth Ooi, 2020. "Give mind to the gap: Measuring gender differences in financial knowledge," Journal of Consumer Affairs, Wiley Blackwell, vol. 54(3), pages 931-950, September.
    13. Geoffrey J Warren, 2022. "Design of comprehensive income products for retirement using utility functions," Australian Journal of Management, Australian School of Business, vol. 47(1), pages 105-134, February.
    14. Jeanette A.M.J. Deetlefs & Mathew Chylinski & Andreas Ortmann, 2015. "MTurk ‘Unscrubbed’: Exploring the good, the ‘Super’, and the unreliable on Amazon’s Mechanical Turk," Discussion Papers 2015-20, School of Economics, The University of New South Wales.
    15. Andreas Oehler & Matthias Horn & Stefan Wendt & Lucia A. Reisch & Thomas J. Walker, 2018. "Young Adults and Their Finances: An International Comparative Study on Applied Financial Literacy," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 47(2-3), pages 305-330, July.
    16. Steffen Westermann & Scott J. Niblock & Jennifer L. Harrison & Michael A. Kortt, 2020. "Financial Advice Seeking: A Review of the Barriers and Benefits," Economic Papers, The Economic Society of Australia, vol. 39(4), pages 367-388, December.

  3. Geweke, John, 2012. "Nonparametric Bayesian modelling of monotone preferences for discrete choice experiments," Journal of Econometrics, Elsevier, vol. 171(2), pages 185-204.

    Cited by:

    1. Johannes G. Jaspersen, 2016. "Hypothetical Surveys And Experimental Studies Of Insurance Demand: A Review," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(1), pages 217-255, January.
    2. Handel, Benjamin R. & Misra, Kanishka & Roberts, James W., 2013. "Robust firm pricing with panel data," Journal of Econometrics, Elsevier, vol. 174(2), pages 165-185.
    3. Christopher Dobronyi & Christian Gouri'eroux, 2020. "Consumer Theory with Non-Parametric Taste Uncertainty and Individual Heterogeneity," Papers 2010.13937, arXiv.org, revised Jan 2021.

  4. John Geweke & Gianni Amisano, 2012. "Prediction with Misspecified Models," American Economic Review, American Economic Association, vol. 102(3), pages 482-486, May.

    Cited by:

    1. Bianchi, Daniele & Tamoni, Andrea, 2016. "The dynamics of expected returns: evidence from multi-scale time series modelling," LSE Research Online Documents on Economics 118992, London School of Economics and Political Science, LSE Library.
    2. Merlo, Antonio & Palfrey, Thomas R., 2014. "External Validation of Voter Turnout Models by Concealed Parameter Recovery," Working Papers 14-015, Rice University, Department of Economics.
    3. Mehmet Pinar & Thanasis Stengos & M. Ege Yazgan, 2018. "Quantile forecast combination using stochastic dominance," Empirical Economics, Springer, vol. 55(4), pages 1717-1755, December.
    4. Berg, Tim O. & Henzel, Steffen R., 2015. "Point and density forecasts for the euro area using Bayesian VARs," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1067-1095.
    5. Deak, S. & Levine, P. & Mirza, A. & Pearlman, J., 2019. "Designing Robust Monetary Policy Using Prediction Pools," Working Papers 19/11, Department of Economics, City University London.
    6. George Papadopoulos & Savas Papadopoulos & Thomas Sager, 2016. "Credit risk stress testing for EU15 banks: a model combination approach," Working Papers 203, Bank of Greece.
    7. Wolters, Maik Hendrik, 2012. "Evaluating point and density forecasts of DSGE models," MPRA Paper 36147, University Library of Munich, Germany.
    8. Čapek, Jan & Crespo Cuaresma, Jesús & Hauzenberger, Niko & Reichel, Vlastimil, 2023. "Macroeconomic forecasting in the euro area using predictive combinations of DSGE models," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1820-1838.
    9. Kenichiro McAlinn & Knut Are Aastveit & Jouchi Nakajima & Mike West, 2019. "Multivariate Bayesian Predictive Synthesis in Macroeconomic Forecasting," Working Paper 2019/2, Norges Bank.
    10. Cristina Conflitti & Christine De Mol & Domenico Giannone, 2012. "Optimal Combination of Survey Forecasts," Working Papers ECARES ECARES 2012-023, ULB -- Universite Libre de Bruxelles.
    11. Thorsten Drautzburg, 2023. "A Structural Approach to Combining External and DSGE Model Forecasts," Working Papers 23-10, Federal Reserve Bank of Philadelphia.
    12. Fernández-Villaverde, J. & Rubio-Ramírez, J.F. & Schorfheide, F., 2016. "Solution and Estimation Methods for DSGE Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 527-724, Elsevier.
    13. Knut Are Aastveit & Jamie Cross & Herman K. van Dijk, 2021. "Quantifying time-varying forecast uncertainty and risk for the real price of oil," Tinbergen Institute Discussion Papers 21-053/III, Tinbergen Institute.
    14. Georgios Papadopoulos & Dionysios Chionis & Nikolaos P. Rachaniotis, 2018. "Macro-financial linkages during tranquil and crisis periods: evidence from stressed economies," Risk Management, Palgrave Macmillan, vol. 20(2), pages 142-166, May.
    15. Eo, Yunjong & Kang, Kyu Ho, 2020. "The effects of conventional and unconventional monetary policy on forecasting the yield curve," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    16. Markku Lanne & Jani Luoto, 2015. "Estimation of DSGE Models under Diffuse Priors and Data-Driven Identification Constraints," CREATES Research Papers 2015-37, Department of Economics and Business Economics, Aarhus University.
    17. McAlinn, Kenichiro & West, Mike, 2019. "Dynamic Bayesian predictive synthesis in time series forecasting," Journal of Econometrics, Elsevier, vol. 210(1), pages 155-169.
    18. Markku Lanne & Jani Luoto, 2018. "Data†Driven Identification Constraints for DSGE Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(2), pages 236-258, April.
    19. Agnieszka Borowska & Lennart Hoogerheide & Siem Jan Koopman & Herman van Dijk, 2019. "Partially Censored Posterior for Robust and Efficient Risk Evaluation," Tinbergen Institute Discussion Papers 19-057/III, Tinbergen Institute.
    20. Fawcett, Nicholas & Kapetanios, George & Mitchell, James & Price, Simon, 2014. "Generalised density forecast combinations," Bank of England working papers 492, Bank of England.
    21. Daniele Bianchi & Kenichiro McAlinn, 2018. "Large-Scale Dynamic Predictive Regressions," Papers 1803.06738, arXiv.org.
    22. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    23. Hasumi, Ryo & Iiboshi, Hirokuni & Matsumae, Tatsuyoshi & Nakamura, Daisuke, 2018. "Does a financial accelerator improve forecasts during financial crises?: Evidence from Japan with Prediction Pool Methods," MPRA Paper 85523, University Library of Munich, Germany.
    24. Kenichiro McAlinn & Kosaku Takanashi, 2019. "Mean-shift least squares model averaging," Papers 1912.01194, arXiv.org.
    25. Byrne, Joseph & Fu, Rong, 2016. "Stock Return Prediction with Fully Flexible Models and Coefficients," MPRA Paper 75366, University Library of Munich, Germany.
    26. Silvia Figini & Roberto Savona & Marika Vezzoli, 2016. "Corporate Default Prediction Model Averaging: A Normative Linear Pooling Approach," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(1-2), pages 6-20, January.
    27. Chung, Tsz-Kin & Iiboshi, Hirokuni, 2015. "Prediction of Term Structure with Potentially Misspecified Macro-Finance Models near the Zero Lower Bound," MPRA Paper 85709, University Library of Munich, Germany.
    28. Beckmann, J & Koop, G & Korobilis, D & Schüssler, R, 2017. "Exchange rate predictability and dynamic Bayesian learning," Essex Finance Centre Working Papers 20781, University of Essex, Essex Business School.
    29. Nikolay Gospodinov & Esfandiar Maasoumi, 2017. "General Aggregation of Misspecified Asset Pricing Models," FRB Atlanta Working Paper 2017-10, Federal Reserve Bank of Atlanta.
    30. Chollete, Lor & Schmeidler, David, 2014. "Misspecification Aversion and Selection of Initial Priors," UiS Working Papers in Economics and Finance 2014/13, University of Stavanger.
    31. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2013. "Predictive likelihood comparisons with DSGE and DSGE-VAR models," Working Paper Series 1536, European Central Bank.
    32. James Morley, 2018. "The Econometric Analysis of Recurrent Events in Macroeconomics and Finance," The Economic Record, The Economic Society of Australia, vol. 94(306), pages 338-340, September.
    33. Ard Reijer & Andreas Johansson, 2019. "Nowcasting Swedish GDP with a large and unbalanced data set," Empirical Economics, Springer, vol. 57(4), pages 1351-1373, October.
    34. Gospodinov, Nikolay & Maasoumi, Esfandiar, 2021. "Generalized aggregation of misspecified models: With an application to asset pricing," Journal of Econometrics, Elsevier, vol. 222(1), pages 451-467.
    35. K=osaku Takanashi & Kenichiro McAlinn, 2019. "Equivariant online predictions of non-stationary time series," Papers 1911.08662, arXiv.org, revised Jun 2023.
    36. McAdam, Peter & Warne, Anders, 2020. "Density forecast combinations: the real-time dimension," Working Paper Series 2378, European Central Bank.

  5. Geweke, John & Amisano, Gianni, 2011. "Optimal prediction pools," Journal of Econometrics, Elsevier, vol. 164(1), pages 130-141, September.
    See citations under working paper version above.
  6. Geweke, John & Jiang, Yu, 2011. "Inference and prediction in a multiple-structural-break model," Journal of Econometrics, Elsevier, vol. 163(2), pages 172-185, August.

    Cited by:

    1. Niu, Linlin & Xu, Xiu & Chen, Ying, 2015. "An adaptive approach to forecasting three key macroeconomic variables for transitional China," BOFIT Discussion Papers 12/2015, Bank of Finland Institute for Emerging Economies (BOFIT).
    2. Sylvia Kaufmann, 2014. "K-state switching models with time-varying transition distributions – Does credit growth signal stronger effects of variables on inflation?," Working Papers 14.04, Swiss National Bank, Study Center Gerzensee.
    3. Mark Fisher & Mark J. Jensen, 2018. "Bayesian Inference and Prediction of a Multiple-Change-Point Panel Model with Nonparametric Priors," FRB Atlanta Working Paper 2018-2, Federal Reserve Bank of Atlanta.
    4. Song, Yong & Shi, Shuping, 2012. "Identifying speculative bubbles with an in finite hidden Markov model," MPRA Paper 36455, University Library of Munich, Germany.
    5. Jiang, Yu & Song, Zhe & Kusiak, Andrew, 2013. "Very short-term wind speed forecasting with Bayesian structural break model," Renewable Energy, Elsevier, vol. 50(C), pages 637-647.
    6. Huang, MeiChi, 2014. "Bubble-like housing boom–bust cycles: Evidence from the predictive power of households’ expectations," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 2-16.
    7. Maheu, John & Song, Yong, 2012. "A new structural break model with application to Canadian inflation forecasting," MPRA Paper 36870, University Library of Munich, Germany.
    8. Kaufmann, Sylvia, 2015. "K-state switching models with time-varying transition distributions—Does loan growth signal stronger effects of variables on inflation?," Journal of Econometrics, Elsevier, vol. 187(1), pages 82-94.
    9. Hou, Chenghan, 2017. "Infinite hidden markov switching VARs with application to macroeconomic forecast," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1025-1043.
    10. Dufays, Arnaud & Rombouts, Jeroen V.K., 2020. "Relevant parameter changes in structural break models," Journal of Econometrics, Elsevier, vol. 217(1), pages 46-78.
    11. Agiwal Varun & Kumar Jitendra & Shangodoyin Dahud Kehinde, 2018. "A Bayesian Inference Of Multiple Structural Breaks In Mean And Error Variance In Panelar (1) Model," Statistics in Transition New Series, Polish Statistical Association, vol. 19(1), pages 7-23, March.
    12. Sylvia Kaufmann, 2011. "K-state switching models with endogenous transition distributions," Working Papers 2011-13, Swiss National Bank.
    13. Bitto, Angela & Frühwirth-Schnatter, Sylvia, 2019. "Achieving shrinkage in a time-varying parameter model framework," Journal of Econometrics, Elsevier, vol. 210(1), pages 75-97.
    14. Dufays, A. & Rombouts, V., 2015. "Sparse Change-Point Time Series Models," LIDAM Discussion Papers CORE 2015032, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    15. Arnaud Dufays & Zhuo Li & Jeroen V.K. Rombouts & Yong Song, 2021. "Sparse change‐point VAR models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(6), pages 703-727, September.
    16. Ardia, David & Dufays, Arnaud & Ordás Criado, Carlos, 2023. "Linking Frequentist and Bayesian Change-Point Methods," MPRA Paper 119486, University Library of Munich, Germany.
    17. Jiang, Yu, 2020. "Identification of business cycles and the Great Moderation in the post-war U.S. economy," Economics Letters, Elsevier, vol. 190(C).
    18. Arnaud Dufays & Jeroen V. K. Rombouts, 2019. "Sparse Change-point HAR Models for Realized Variance," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 857-880, September.
    19. Zhongxin Ni & Xing Lu & Wenjun Xue, 2021. "Does the belt and road initiative resolve the steel overcapacity in China? Evidence from a dynamic model averaging approach," Empirical Economics, Springer, vol. 61(1), pages 279-307, July.
    20. Yu Jiang & Xianming Fang, 2014. "Identify regimes in post-war US GDP growth," Applied Economics Letters, Taylor & Francis Journals, vol. 21(6), pages 397-401, April.
    21. Adam Check & Jeremy Piger, 2021. "Structural Breaks in U.S. Macroeconomic Time Series: A Bayesian Model Averaging Approach," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(8), pages 1999-2036, December.
    22. Ko, Stanley I. M. & Chong, Terence T. L. & Ghosh, Pulak, 2014. "Dirichlet Process Hidden Markov Multiple Change-point Model," MPRA Paper 57871, University Library of Munich, Germany.

  7. John Geweke & Gianni Amisano, 2011. "Hierarchical Markov normal mixture models with applications to financial asset returns," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(1), pages 1-29, January/F.
    See citations under working paper version above.
  8. Geweke, John & Amisano, Gianni, 2010. "Comparing and evaluating Bayesian predictive distributions of asset returns," International Journal of Forecasting, Elsevier, vol. 26(2), pages 216-230, April.

    Cited by:

    1. Li, Li & Kang, Yanfei & Li, Feng, 2023. "Bayesian forecast combination using time-varying features," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1287-1302.
    2. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2012. "Time-varying Combinations of Predictive Densities using Nonlinear Filtering," Tinbergen Institute Discussion Papers 12-118/III, Tinbergen Institute.
    3. Pelin Ilbas & Øistein Røisland & Tommy Sveen, 2013. "The Influence of the Taylor rule on US monetary policy," Working Paper Research 241, National Bank of Belgium.
    4. Panagiotidis, Theodore & Papapanagiotou, Georgios & Stengos, Thanasis, 2022. "On the volatility of cryptocurrencies," Research in International Business and Finance, Elsevier, vol. 62(C).
    5. Jonas Dovern & Martin Feldkircher & Florian Huber, 2015. "Does Joint Modelling of the World Economy Pay Off? Evaluating Global Forecasts from a Bayesian GVAR," Working Papers 200, Oesterreichische Nationalbank (Austrian Central Bank).
    6. Ng, Jason & Forbes, Catherine S. & Martin, Gael M. & McCabe, Brendan P.M., 2013. "Non-parametric estimation of forecast distributions in non-Gaussian, non-linear state space models," International Journal of Forecasting, Elsevier, vol. 29(3), pages 411-430.
    7. Huber, Florian, 2017. "Structural breaks in Taylor rule based exchange rate models — Evidence from threshold time varying parameter models," Economics Letters, Elsevier, vol. 150(C), pages 48-52.
    8. Mark J. Jensen & John M. Maheu, 2008. "Bayesian semiparametric stochastic volatility modeling," FRB Atlanta Working Paper 2008-15, Federal Reserve Bank of Atlanta.
    9. Pauwels, Laurent & Radchenko, Peter & Vasnev, Andrey, 2019. "Higher Moment Constraints for Predictive Density Combinations," Working Papers BAWP-2019-01, University of Sydney Business School, Discipline of Business Analytics.
    10. Anders Warne & Günter Coenen & Kai Christoffel, 2017. "Marginalized Predictive Likelihood Comparisons of Linear Gaussian State‐Space Models with Applications to DSGE, DSGE‐VAR, and VAR Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 103-119, January.
    11. Markku Lanne & Jani Luoto, 2017. "A New Time‐Varying Parameter Autoregressive Model for U.S. Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 969-995, August.
    12. Antonello D'Agostino & Domenico Giannone & Michele Lenza & Michele Modugno, 2015. "Nowcasting Business Cycles: a Bayesian Approach to Dynamic Heterogeneous Factor Models," Finance and Economics Discussion Series 2015-66, Board of Governors of the Federal Reserve System (U.S.).
    13. Davide Pettenuzzo & Rossen Valkanov & Allan Timmermann, 2014. "A Bayesian MIDAS Approach to Modeling First and Second Moment Dynamics," Working Papers 76, Brandeis University, Department of Economics and International Business School.
    14. Berg, Tim O. & Henzel, Steffen R., 2015. "Point and density forecasts for the euro area using Bayesian VARs," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1067-1095.
    15. Timmermann, Allan & Pettenuzzo, Davide, 2016. "Forecasting Macroeconomic Variables under Model Instability," CEPR Discussion Papers 11355, C.E.P.R. Discussion Papers.
    16. Angela Abbate & Massimiliano Marcellino, 2017. "Macroeconomic activity and risk indicators: an unstable relationship," BAFFI CAREFIN Working Papers 1756, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    17. Patrick Leung & Catherine S. Forbes & Gael M Martin & Brendan McCabe, 2019. "Forecasting Observables with Particle Filters: Any Filter Will Do!," Monash Econometrics and Business Statistics Working Papers 22/19, Monash University, Department of Econometrics and Business Statistics.
    18. Hauzenberger, Niko & Huber, Florian, 2018. "Model instability in predictive exchange rate regressions," Department of Economics Working Paper Series 276, WU Vienna University of Economics and Business.
    19. Roberto Leon-Gonzalez & Fuyu Yang, 2017. "Bayesian inference and forecasting in the stationary bilinear model," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(20), pages 10327-10347, October.
    20. Markus Heinrich & Magnus Reif, 2018. "Forecasting using mixed-frequency VARs with time-varying parameters," ifo Working Paper Series 273, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    21. Anna Kormilitsina & Sarah Zubairy, 2015. "Propagation Mechanisms for Government Spending Shocks: A Bayesian Comparison," EcoMod2015 8646, EcoMod.
    22. Laura Liu, 2018. "Density Forecasts in Panel Data Models: A Semiparametric Bayesian Perspective," Papers 1805.04178, arXiv.org, revised Oct 2021.
    23. Davide Pettenuzzo & Francesco Ravazzolo, 2014. "Optimal portfolio choice under decision-based model combinations," Working Paper 2014/15, Norges Bank.
    24. Florian Huber & Gregor Kastner & Martin Feldkircher, 2016. "Should I stay or should I go? A latent threshold approach to large-scale mixture innovation models," Papers 1607.04532, arXiv.org, revised Jul 2018.
    25. Koop, Gary & Korobilis, Dimitris & Pettenuzzo, Davide, 2019. "Bayesian compressed vector autoregressions," Journal of Econometrics, Elsevier, vol. 210(1), pages 135-154.
    26. Pettenuzzo, Davide & Timmermann, Allan & Valkanov, Rossen, 2016. "A MIDAS approach to modeling first and second moment dynamics," Journal of Econometrics, Elsevier, vol. 193(2), pages 315-334.
    27. Boyuan Zhang, 2022. "Incorporating Prior Knowledge of Latent Group Structure in Panel Data Models," Papers 2211.16714, arXiv.org, revised Oct 2023.
    28. Minchul Shin & Molin Zhong, 2015. "Does Realized Volatility Help Bond Yield Density Prediction?," Finance and Economics Discussion Series 2015-115, Board of Governors of the Federal Reserve System (U.S.).
    29. Timmermann, Allan & Pettenuzzo, Davide & Gargano, Antonio, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," CEPR Discussion Papers 10104, C.E.P.R. Discussion Papers.
    30. Wagner Piazza Gaglianone & Luiz Renato Lima, 2014. "Constructing Optimal Density Forecasts From Point Forecast Combinations," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 736-757, August.
    31. Michael Pfarrhofer, 2024. "Forecasts with Bayesian vector autoregressions under real time conditions," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 771-801, April.
    32. Oliver Pfante & Nils Bertschinger, 2019. "Volatility Inference And Return Dependencies In Stochastic Volatility Models," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 22(03), pages 1-44, May.
    33. Goldman, Elena, 2023. "Uncertainty in systemic risks rankings: Bayesian and frequentist analysis," Finance Research Letters, Elsevier, vol. 56(C).
    34. Byrne, Joseph & Cao, Shuo & Korobilis, Dimitris, 2015. "Term Structure Dynamics, Macro-Finance Factors and Model Uncertainty," MPRA Paper 63844, University Library of Munich, Germany.
    35. Tsionas, Mike G. & Izzeldin, Marwan & Trapani, Lorenzo, 2022. "Estimation of large dimensional time varying VARs using copulas," European Economic Review, Elsevier, vol. 141(C).
    36. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2012. "Real-time nowcasting with a Bayesian mixed frequency model with stochastic volatility," Working Papers (Old Series) 1227, Federal Reserve Bank of Cleveland.
    37. Marcellino, Massimiliano & Clark, Todd & Carriero, Andrea & Mertens, Elmar, 2021. "Addressing COVID-19 Outliers in BVARs with Stochastic Volatility," CEPR Discussion Papers 15964, C.E.P.R. Discussion Papers.
    38. Camilla Muglia & Luca Santabarbara & Stefano Grassi, 2019. "Is Bitcoin a Relevant Predictor of Standard & Poor’s 500?," JRFM, MDPI, vol. 12(2), pages 1-10, May.
    39. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2012. "Common drifting volatility in large Bayesian VARs," Working Papers (Old Series) 1206, Federal Reserve Bank of Cleveland.
    40. Korobilis, Dimitris & Pettenuzzo, Davide, 2019. "Adaptive hierarchical priors for high-dimensional vector autoregressions," Journal of Econometrics, Elsevier, vol. 212(1), pages 241-271.
    41. Niko Hauzenberger & Florian Huber & Luca Onorante, 2021. "Combining shrinkage and sparsity in conjugate vector autoregressive models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(3), pages 304-327, April.
    42. Allayioti, Anastasia & Venditti, Fabrizio, 2024. "The role of comovement and time-varying dynamics in forecasting commodity prices," Working Paper Series 2901, European Central Bank.
    43. Worapree Maneesoonthorn & Catherine S. Forbes & Gael M. Martin, 2013. "Inference on Self-Exciting Jumps in Prices and Volatility using High Frequency Measures," Monash Econometrics and Business Statistics Working Papers 28/13, Monash University, Department of Econometrics and Business Statistics.
    44. Song, Yong & Shi, Shuping, 2012. "Identifying speculative bubbles with an in finite hidden Markov model," MPRA Paper 36455, University Library of Munich, Germany.
    45. Berg Tim Oliver, 2017. "Forecast accuracy of a BVAR under alternative specifications of the zero lower bound," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(2), pages 1-29, April.
    46. Gianni Amisano & John Geweke, 2017. "Prediction Using Several Macroeconomic Models," The Review of Economics and Statistics, MIT Press, vol. 99(5), pages 912-925, December.
    47. Davidovic, Milivoje, 2021. "From pandemic to financial contagion: High-frequency risk metrics and Bayesian volatility analysis," Finance Research Letters, Elsevier, vol. 42(C).
    48. Maciej Kostrzewski & Jadwiga Kostrzewska, 2021. "The Impact of Forecasting Jumps on Forecasting Electricity Prices," Energies, MDPI, vol. 14(2), pages 1-17, January.
    49. Hernández Juan R., 2020. "Covered Interest Parity: A Stochastic Volatility Approach to Estimate the Neutral Band," Working Papers 2020-02, Banco de México.
    50. Hong Wang & Catherine S. Forbes & Jean-Pierre Fenech & John Vaz, 2018. "The determinants of bank loan recovery rates in good times and bad - new evidence," Papers 1804.07022, arXiv.org.
    51. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011. "Combining Predictive Densities using Bayesian Filtering with Applications to US Economics Data," Tinbergen Institute Discussion Papers 11-003/4, Tinbergen Institute.
    52. Foroni, Claudia & Ravazzolo, Francesco & Rossini, Luca, 2023. "Are low frequency macroeconomic variables important for high frequency electricity prices?," Economic Modelling, Elsevier, vol. 120(C).
    53. Ellington, Michael & Fu, Xi & Zhu, Yunyi, 2023. "Real estate illiquidity and returns: A time-varying regional perspective," International Journal of Forecasting, Elsevier, vol. 39(1), pages 58-72.
    54. Follett, Lendie & Yu, Cindy, 2019. "Achieving parsimony in Bayesian vector autoregressions with the horseshoe prior," Econometrics and Statistics, Elsevier, vol. 11(C), pages 130-144.
    55. Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Extended Phillips Curve Models with non-filtered Data," Koç University-TUSIAD Economic Research Forum Working Papers 1321, Koc University-TUSIAD Economic Research Forum.
    56. Ardia, David & Lennart, Hoogerheide & Nienke, Corré, 2011. "Stock index returns’ density prediction using GARCH models: Frequentist or Bayesian estimation?," MPRA Paper 28259, University Library of Munich, Germany.
    57. Çakmaklı, Cem & Paap, Richard & van Dijk, Dick, 2013. "Measuring and predicting heterogeneous recessions," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2195-2216.
    58. Christian Hotz-Behofsits & Florian Huber & Thomas O. Zorner, 2018. "Predicting crypto-currencies using sparse non-Gaussian state space models," Papers 1801.06373, arXiv.org, revised Feb 2018.
    59. Carriero, Andrea & Mumtaz, Haroon & Theophilopoulou, Angeliki, 2015. "Macroeconomic information, structural change, and the prediction of fiscal aggregates," International Journal of Forecasting, Elsevier, vol. 31(2), pages 325-348.
    60. Hoogerheide, Lennart F. & Ardia, David & Corré, Nienke, 2012. "Density prediction of stock index returns using GARCH models: Frequentist or Bayesian estimation?," Economics Letters, Elsevier, vol. 116(3), pages 322-325.
    61. Jaeho Kim & Sora Chon, 2022. "Bayesian estimation of the long-run trend of the US economy," Empirical Economics, Springer, vol. 62(2), pages 461-485, February.
    62. Huber, Florian & Krisztin, Tamás & Piribauer, Philipp, 2014. "Forecasting Global Equity Indices Using Large Bayesian VARs," Department of Economics Working Paper Series 184, WU Vienna University of Economics and Business.
    63. Roberto Leon-Gonzalez & Blessings Majoni, 2024. "Approximate Factor Models with a Common Multiplicative Factor for Stochastic Volatility," Working Paper series 24-04, Rimini Centre for Economic Analysis.
    64. Maneesoonthorn, Worapree & Martin, Gael M. & Forbes, Catherine S. & Grose, Simone D., 2012. "Probabilistic forecasts of volatility and its risk premia," Journal of Econometrics, Elsevier, vol. 171(2), pages 217-236.
    65. Manfred M. Fischer & Niko Hauzenberger & Florian Huber & Michael Pfarrhofer, 2023. "General Bayesian time‐varying parameter vector autoregressions for modeling government bond yields," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 69-87, January.
    66. Justyna Wróblewska & Anna Pajor, 2019. "One-period joint forecasts of Polish inflation, unemployment and interest rate using Bayesian VEC-MSF models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 11(1), pages 23-45, March.
    67. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2015. "Bayesian nonparametric calibration and combination of predictive distributions," Working Paper 2015/03, Norges Bank.
    68. Mauro Bernardi & Lea Petrella, 2015. "Interconnected Risk Contributions: A Heavy-Tail Approach to Analyze U.S. Financial Sectors," JRFM, MDPI, vol. 8(2), pages 1-29, April.
    69. Topaloglou, Nikolas & Tsionas, Mike G., 2020. "Stochastic dominance tests," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
    70. Liu, Jia & Maheu, John M & Song, Yong, 2023. "Identification and Forecasting of Bull and Bear Markets using Multivariate Returns," MPRA Paper 119515, University Library of Munich, Germany.
    71. Todd E. Clark & Taeyoung Doh, 2011. "A Bayesian evaluation of alternative models of trend inflation," Working Papers (Old Series) 1134, Federal Reserve Bank of Cleveland.
    72. Maheu, John & Song, Yong, 2012. "A new structural break model with application to Canadian inflation forecasting," MPRA Paper 36870, University Library of Munich, Germany.
    73. Nalan Basturk & Cem Cakmakli & Pinar Ceyhan & Herman K. van Dijk, 2013. "Posterior-Predictive Evidence on US Inflation using Phillips Curve Models with Non-Filtered Time Series," Tinbergen Institute Discussion Papers 13-011/III, Tinbergen Institute.
    74. Gregor Kastner, 2016. "Sparse Bayesian time-varying covariance estimation in many dimensions," Papers 1608.08468, arXiv.org, revised Nov 2017.
    75. Luca Onorante & Adrian E. Raftery, 2014. "Dynamic Model Averaging in Large Model Spaces Using Dynamic Occam's Window," Papers 1410.7799, arXiv.org.
    76. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    77. Deschamps, Philippe J., 2011. "Bayesian estimation of an extended local scale stochastic volatility model," Journal of Econometrics, Elsevier, vol. 162(2), pages 369-382, June.
    78. Marcellino, Massimiliano & Carriero, Andrea & Clark, Todd, 2014. "No Arbitrage Priors, Drifting Volatilities, and the Term Structure of Interest Rates," CEPR Discussion Papers 9848, C.E.P.R. Discussion Papers.
    79. Petre Caraiani, 2014. "Do money and financial variables help forecasting output in emerging European Economies?," Empirical Economics, Springer, vol. 46(2), pages 743-763, March.
    80. Angelica Gianfreda & Francesco Ravazzolo & Luca Rossini, 2018. "Comparing the Forecasting Performances of Linear Models for Electricity Prices with High RES Penetration," Working Papers No 2/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    81. Federico Bassetti & Roberto Casarin & Fabrizio Leisen, 2013. "Beta-Product Dependent Pitman-Yor Processes for Bayesian Inference," Working Papers 2013:13, Department of Economics, University of Venice "Ca' Foscari".
    82. Li, Feng & Kang, Yanfei, 2018. "Improving forecasting performance using covariate-dependent copula models," International Journal of Forecasting, Elsevier, vol. 34(3), pages 456-476.
    83. Kang, Kyu Ho, 2015. "The predictive density simulation of the yield curve with a zero lower bound," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 51-66.
    84. Huber, Florian & Fischer, Manfred M. & Piribauer, Philipp, 2019. "The Role Of Us-Based Fdi Flows For Global Output Dynamics," Macroeconomic Dynamics, Cambridge University Press, vol. 23(3), pages 943-973, April.
    85. Gupta, Rangan & Huber, Florian & Piribauer, Philipp, 2020. "Predicting international equity returns: Evidence from time-varying parameter vector autoregressive models," International Review of Financial Analysis, Elsevier, vol. 68(C).
    86. Angelos Alexopoulos & Petros Dellaportas & Omiros Papaspiliopoulos, 2019. "Bayesian prediction of jumps in large panels of time series data," Papers 1904.05312, arXiv.org, revised Apr 2021.
    87. Markku Lanne & Jani Luoto, 2015. "Estimation of DSGE Models under Diffuse Priors and Data-Driven Identification Constraints," CREATES Research Papers 2015-37, Department of Economics and Business Economics, Aarhus University.
    88. Markku Lanne & Jani Luoto, 2014. "Noncausal Bayesian Vector Autoregression," CREATES Research Papers 2014-07, Department of Economics and Business Economics, Aarhus University.
    89. Ellis W. Tallman & Saeed Zaman, 2015. "Forecasting Inflation: Phillips Curve Effects on Services Price Measures," Working Papers (Old Series) 1519, Federal Reserve Bank of Cleveland.
    90. Florian Huber & Tam'as Krisztin & Michael Pfarrhofer, 2018. "A Bayesian panel VAR model to analyze the impact of climate change on high-income economies," Papers 1804.01554, arXiv.org, revised Feb 2021.
    91. Marcellino, Massimiliano & Abbate, Angela, 2016. "Point, interval and density forecasts of exchange rates with time-varying parameter models," CEPR Discussion Papers 11559, C.E.P.R. Discussion Papers.
    92. Laura Liu, 2017. "Density Forecasts in Panel Models: A semiparametric Bayesian Perspective," PIER Working Paper Archive 17-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 28 Apr 2017.
    93. Piergiorgio Alessandri & Haroon Mumtaz, 2017. "Financial conditions and density forecasts for US output and inflation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 24, pages 66-78, March.
    94. DESCHAMPS, Philippe J., 2016. "Bayesian Semiparametric Forecasts of Real Interest Rate Data," LIDAM Discussion Papers CORE 2016050, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    95. Boriss Siliverstovs, 2021. "New York FED Staff Nowcasts and Reality: What Can We Learn about the Future, the Present, and the Past?," Econometrics, MDPI, vol. 9(1), pages 1-25, March.
    96. Deschamps, Philippe J., 2012. "Bayesian estimation of generalized hyperbolic skewed student GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3035-3054.
    97. Roberto Casarin & Giulia Mantoan & Francesco Ravazzolo, 2016. "Bayesian Calibration of Generalized Pools of Predictive Distributions," Econometrics, MDPI, vol. 4(1), pages 1-24, March.
    98. Kastner, Gregor, 2016. "Dealing with Stochastic Volatility in Time Series Using the R Package stochvol," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 69(i05).
    99. Markku Lanne & Jani Luoto, 2018. "Data†Driven Identification Constraints for DSGE Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(2), pages 236-258, April.
    100. Bitto, Angela & Frühwirth-Schnatter, Sylvia, 2019. "Achieving shrinkage in a time-varying parameter model framework," Journal of Econometrics, Elsevier, vol. 210(1), pages 75-97.
    101. Foroni, Claudia & Ravazzolo, Francesco & Rossini, Luca, 2019. "Forecasting daily electricity prices with monthly macroeconomic variables," Working Paper Series 2250, European Central Bank.
    102. Yong Tan & Mike G. Tsionas, 2022. "Modelling sustainability efficiency in banking," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3754-3772, July.
    103. Coe, Patrick J & Vahey, Shaun P., 2014. "Probablistic Prediction of the US Great Recession with Historical Expert," EMF Research Papers 06, Economic Modelling and Forecasting Group.
    104. Tsionas, Mike G. & Philippas, Dionisis & Philippas, Nikolaos, 2022. "Multivariate stochastic volatility for herding detection: Evidence from the energy sector," Energy Economics, Elsevier, vol. 109(C).
    105. Agnieszka Borowska & Lennart Hoogerheide & Siem Jan Koopman & Herman van Dijk, 2019. "Partially Censored Posterior for Robust and Efficient Risk Evaluation," Tinbergen Institute Discussion Papers 19-057/III, Tinbergen Institute.
    106. Magnus Reif, 2020. "Macroeconomics, Nonlinearities, and the Business Cycle," ifo Beiträge zur Wirtschaftsforschung, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, number 87.
    107. Bobeica, Elena & Hartwig, Benny, 2023. "The COVID-19 shock and challenges for inflation modelling," International Journal of Forecasting, Elsevier, vol. 39(1), pages 519-539.
    108. Fawcett, Nicholas & Kapetanios, George & Mitchell, James & Price, Simon, 2014. "Generalised density forecast combinations," Bank of England working papers 492, Bank of England.
    109. Bernardi, Mauro & Maruotti, Antonello & Petrella, Lea, 2017. "Multiple risk measures for multivariate dynamic heavy–tailed models," Journal of Empirical Finance, Elsevier, vol. 43(C), pages 1-32.
    110. Jochen Krause & Marc S. Paolella, 2014. "A Fast, Accurate Method for Value-at-Risk and Expected Shortfall," Econometrics, MDPI, vol. 2(2), pages 1-25, June.
    111. Karlsson, Sune & Mazur, Stepan & Nguyen, Hoang, 2023. "Vector autoregression models with skewness and heavy tails," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    112. Piergiorgio Alessandri & Haroon Mumtaz, 2014. "Financial indicators and density forecasts for US output and inflation," Temi di discussione (Economic working papers) 977, Bank of Italy, Economic Research and International Relations Area.
    113. Mark J Jensen & John M Maheu, 2012. "Estimating a Semiparametric Asymmetric Stochastic Volatility Model with a Dirichlet Process Mixture," Working Papers tecipa-453, University of Toronto, Department of Economics.
    114. Knut Are Aastveit & Francesco Ravazzolo & Herman K. van Dijk, 2018. "Combined Density Nowcasting in an Uncertain Economic Environment," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 131-145, January.
    115. Damian Stelmasiak & Grzegorz Szafrański, 2016. "Forecasting the Polish Inflation Using Bayesian VAR Models with Seasonality," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(1), pages 21-42, March.
    116. Karsten R. Gerdrup & Anne Sofie Jore & Christie Smith & Leif Anders Thorsrud, 2009. "Evaluating ensemble density combination - forecasting GDP and inflation," Working Paper 2009/19, Norges Bank.
    117. Anna Pajor & Justyna Wróblewska, 2022. "Forecasting performance of Bayesian VEC-MSF models for financial data in the presence of long-run relationships," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(3), pages 427-448, September.
    118. Catania, Leopoldo & Grassi, Stefano & Ravazzolo, Francesco, 2019. "Forecasting cryptocurrencies under model and parameter instability," International Journal of Forecasting, Elsevier, vol. 35(2), pages 485-501.
    119. Ardia, David & Bluteau, Keven & Boudt, Kris & Catania, Leopoldo, 2018. "Forecasting risk with Markov-switching GARCH models:A large-scale performance study," International Journal of Forecasting, Elsevier, vol. 34(4), pages 733-747.
    120. Byrne, Joseph P & Korobilis, Dimitris & Ribeiro, Pinho J, 2014. "On the Sources of Uncertainty in Exchange Rate Predictability," MPRA Paper 58956, University Library of Munich, Germany.
    121. Paul J. Northrop & Nicolas Attalides & Philip Jonathan, 2017. "Cross-validatory extreme value threshold selection and uncertainty with application to ocean storm severity," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(1), pages 93-120, January.
    122. Boriss Siliverstovs, 2020. "Assessing nowcast accuracy of US GDP growth in real time: the role of booms and busts," Empirical Economics, Springer, vol. 58(1), pages 7-27, January.
    123. Haroon Mumtaz & Laura Sunder-Plassmann, 2017. "Non-linear effects of government spending shocks in the US. Evidence from state-level data," Working Papers 841, Queen Mary University of London, School of Economics and Finance.
    124. Nalan Baştürk & Cem Çakmakli & S. Pinar Ceyhan & Herman K. Van Dijk, 2014. "Posterior‐Predictive Evidence On Us Inflation Using Extended New Keynesian Phillips Curve Models With Non‐Filtered Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(7), pages 1164-1182, November.
    125. Hauzenberger Niko & Huber Florian & Pfarrhofer Michael & Zörner Thomas O., 2021. "Stochastic model specification in Markov switching vector error correction models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(2), pages 1-17, April.
    126. Luis Gruber & Gregor Kastner, 2022. "Forecasting macroeconomic data with Bayesian VARs: Sparse or dense? It depends!," Papers 2206.04902, arXiv.org, revised Jul 2023.
    127. Gregor Kastner & Florian Huber, 2017. "Sparse Bayesian vector autoregressions in huge dimensions," Papers 1704.03239, arXiv.org, revised Dec 2019.
    128. Constandina Koki & Stefanos Leonardos & Georgios Piliouras, 2020. "Exploring the Predictability of Cryptocurrencies via Bayesian Hidden Markov Models," Papers 2011.03741, arXiv.org, revised Dec 2020.
    129. KOROBILIS, Dimitris, 2011. "Hierarchical shrinkage priors for dynamic regressions with many predictors," LIDAM Discussion Papers CORE 2011021, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    130. Benjamin K. Johannsen & Elmar Mertens, 2016. "A Time Series Model of Interest Rates With the Effective Lower Bound," Finance and Economics Discussion Series 2016-033, Board of Governors of the Federal Reserve System (U.S.).
    131. Abdymomunov, Azamat & Kang, Kyu Ho & Kim, Ki Jeong, 2016. "Can credit spreads help predict a yield curve?," Journal of International Money and Finance, Elsevier, vol. 64(C), pages 39-61.
    132. Roberto Casarin, 2014. "A Note on Tractable State-Space Model for Symmetric Positive-Definite Matrices," Working Papers 2014:23, Department of Economics, University of Venice "Ca' Foscari".
    133. Boyuan Zhang, 2020. "Forecasting with Bayesian Grouped Random Effects in Panel Data," Papers 2007.02435, arXiv.org, revised Oct 2020.
    134. Andrea Monticini & Francesco Ravazzolo, 2014. "Forecasting the intraday market price of money," DISCE - Working Papers del Dipartimento di Economia e Finanza def010, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    135. Garland Durham & John Geweke, 2013. "Adaptive Sequential Posterior Simulators for Massively Parallel Computing Environments," Working Paper Series 9, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    136. Ellington, Michael, 2022. "Fat tails, serial dependence, and implied volatility index connections," European Journal of Operational Research, Elsevier, vol. 299(2), pages 768-779.
    137. Mike G. Tsionas, 2016. "Alternative Bayesian compression in Vector Autoregressions and related models," Working Papers 216, Bank of Greece.
    138. Marcus P. A. Cobb, 2020. "Aggregate density forecasting from disaggregate components using Bayesian VARs," Empirical Economics, Springer, vol. 58(1), pages 287-312, January.
    139. Zeyyad Mandalinci, 2015. "Forecasting Inflation in Emerging Markets: An Evaluation of Alternative Models," CReMFi Discussion Papers 3, CReMFi, School of Economics and Finance, QMUL.
    140. Ilya Archakov & Peter Reinhard Hansen & Asger Lunde, 2020. "A Multivariate Realized GARCH Model," Papers 2012.02708, arXiv.org.
    141. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    142. Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Technology.
    143. Korobilis, Dimitris, 2015. "Quantile forecasts of inflation under model uncertainty," SIRE Discussion Papers 2015-72, Scottish Institute for Research in Economics (SIRE).
    144. Zhang, Yixiao & Yu, Cindy L. & Li, Haitao, 2022. "Nowcasting GDP Using Dynamic Factor Model with Unknown Number of Factors and Stochastic Volatility: A Bayesian Approach," Econometrics and Statistics, Elsevier, vol. 24(C), pages 75-93.
    145. Del Brio, Esther B. & Ñíguez, Trino-Manuel & Perote, Javier, 2011. "Multivariate semi-nonparametric distributions with dynamic conditional correlations," International Journal of Forecasting, Elsevier, vol. 27(2), pages 347-364, April.
    146. Florian Huber & Michael Pfarrhofer & Philipp Piribauer, 2020. "A multi‐country dynamic factor model with stochastic volatility for euro area business cycle analysis," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(6), pages 911-926, September.
    147. Martin Feldkircher & Nico Hauzenberger, 2019. "How useful are time-varying parameter models for forecasting economic growth in CESEE?," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue Q1/19, pages 29-48.
    148. Roberto Leon-Gonzalez & Blessings Majoni, 2023. "Exact Likelihood for Inverse Gamma Stochastic Volatility Models," Working Paper series 23-11, Rimini Centre for Economic Analysis.
    149. Chew Lian Chua & Sandy Suardi & Sarantis Tsiaplias, 2011. "Predicting Short-Term Interest Rates: Does Bayesian Model Averaging Provide Forecast Improvement?," Melbourne Institute Working Paper Series wp2011n01, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    150. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011. "Combining Predictive Densities using Nonlinear Filtering with Applications to US Economics Data," Tinbergen Institute Discussion Papers 11-172/4, Tinbergen Institute.
    151. Kiss, Tamas & Nguyen, Hoang & Österholm, Pär, 2022. "Modelling Okun’s Law – Does non-Gaussianity Matter?," Working Papers 2022:1, Örebro University, School of Business.
    152. Korobilis, Dimitris, 2017. "Quantile regression forecasts of inflation under model uncertainty," International Journal of Forecasting, Elsevier, vol. 33(1), pages 11-20.
    153. Niko Hauzenberger & Florian Huber & Karin Klieber, 2020. "Real-time Inflation Forecasting Using Non-linear Dimension Reduction Techniques," Papers 2012.08155, arXiv.org, revised Dec 2021.
    154. Antonio Pacifico, 2023. "Obesity and labour market outcomes in Italy: a dynamic panel data evidence with correlated random effects," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 24(4), pages 557-574, June.
    155. Dimitrios P. Louzis, 2017. "Macroeconomic and credit forecasts during the Greek crisis using Bayesian VARs," Empirical Economics, Springer, vol. 53(2), pages 569-598, September.
    156. Mike G. Tsionas, 2016. "Alternatives to large VAR, VARMA and multivariate stochastic volatility models," Working Papers 217, Bank of Greece.
    157. David Harris & Gael M. Martin & Indeewara Perera & Don S. Poskitt, 2017. "Construction and visualization of optimal confidence sets for frequentist distributional forecasts," Monash Econometrics and Business Statistics Working Papers 9/17, Monash University, Department of Econometrics and Business Statistics.
    158. Deschamps, P., 2015. "Alternative Formulation of the Leverage Effect in a Stochastic Volatility Model with Asymmetric Heavy-Tailed Errors," LIDAM Discussion Papers CORE 2015020, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    159. O'Brien, Martin & Velasco, Sofia, 2020. "Unobserved components models with stochastic volatility for extracting trends and cycles in credit," Research Technical Papers 09/RT/20, Central Bank of Ireland.
    160. Tsionas, Mike G., 2022. "Random and Markov switching exponential smoothing models," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    161. Casarin, Roberto & Grassi, Stefano & Ravazzolo, Francesco & van Dijk, Herman K., 2023. "A flexible predictive density combination for large financial data sets in regular and crisis periods," Journal of Econometrics, Elsevier, vol. 237(2).
    162. Manfred M. Fischer & Niko Hauzenberger & Florian Huber & Michael Pfarrhofer, 2021. "General Bayesian time-varying parameter VARs for predicting government bond yields," Papers 2102.13393, arXiv.org.
    163. George Athanasopoulos & Puwasala Gamakumara & Anastasios Panagiotelis & Rob J Hyndman & Mohamed Affan, 2019. "Hierarchical Forecasting," Monash Econometrics and Business Statistics Working Papers 2/19, Monash University, Department of Econometrics and Business Statistics.
    164. Florian Huber & Michael Pfarrhofer, 2020. "Dynamic shrinkage in time-varying parameter stochastic volatility in mean models," Papers 2005.06851, arXiv.org.
    165. Koki, Constandina & Leonardos, Stefanos & Piliouras, Georgios, 2022. "Exploring the predictability of cryptocurrencies via Bayesian hidden Markov models," Research in International Business and Finance, Elsevier, vol. 59(C).
    166. Darjus Hosszejni & Gregor Kastner, 2019. "Modeling Univariate and Multivariate Stochastic Volatility in R with stochvol and factorstochvol," Papers 1906.12123, arXiv.org, revised Feb 2021.
    167. Knut Are Aastveit & James Mitchell & Francesco Ravazzolo & Herman van Dijk, 2018. "The Evolution of Forecast Density Combinations in Economics," Tinbergen Institute Discussion Papers 18-069/III, Tinbergen Institute.
    168. Boriss Siliverstovs, 2021. "Gauging the Effect of Influential Observations on Measures of Relative Forecast Accuracy in a Post-COVID-19 Era: Application to Nowcasting Euro Area GDP Growth," Working Papers 2021/01, Latvijas Banka.
    169. Byrne, Joseph & Fu, Rong, 2016. "Stock Return Prediction with Fully Flexible Models and Coefficients," MPRA Paper 75366, University Library of Munich, Germany.
    170. Leonardo N. Ferreira, 2021. "Forecasting with VAR-teXt and DFM-teXt Models:exploring the predictive power of central bank communication," Working Papers Series 559, Central Bank of Brazil, Research Department.
    171. Spyros Makridakis & Andreas Merikas & Anna Merika & Mike G. Tsionas & Marwan Izzeldin, 2020. "A novel forecasting model for the Baltic dry index utilizing optimal squeezing," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(1), pages 56-68, January.
    172. Roberto Casarin & Domenico Sartore & Marco Tronzano, 2018. "A Bayesian Markov-Switching Correlation Model for Contagion Analysis on Exchange Rate Markets," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 101-114, January.
    173. Holzmann, Hajo & Schwaiger, Florian, 2016. "Testing for the number of states in hidden Markov models," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 318-330.
    174. Daniele Bianchi & Massimo Guidolin & Francesco Ravazzolo, 2013. "Macroeconomic factors strike back: A Bayesian change-point model of time-varying risk exposures and premia in the U.S. cross-section," Working Paper 2013/19, Norges Bank.
    175. Magnus Reif, 2018. "Macroeconomic Uncertainty and Forecasting Macroeconomic Aggregates," ifo Working Paper Series 265, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    176. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2013. "Historical Developments in Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 13-191/III, Tinbergen Institute.
    177. Fischer, Manfred M. & Hauzenberger, Niko & Huber, Florian & Pfarrhofer, Michael, 2022. "General Bayesian time-varying parameter VARs for modeling government bond yields," Working Papers in Regional Science 2021/01, WU Vienna University of Economics and Business.
    178. Tsionas, Mike G., 2021. "Bayesian analysis of static and dynamic Hurst parameters under stochastic volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 567(C).
    179. Yong Song, 2014. "Modelling Regime Switching And Structural Breaks With An Infinite Hidden Markov Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(5), pages 825-842, August.
    180. Panayotis Michaelides & Mike Tsionas & Panos Xidonas, 2020. "A Bayesian Signals Approach for the Detection of Crises," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(3), pages 551-585, September.
    181. Karapanagiotidis, Paul, 2012. "Improving Bayesian VAR density forecasts through autoregressive Wishart Stochastic Volatility," MPRA Paper 38885, University Library of Munich, Germany.
    182. Leopoldo Catania & Stefano Grassi & Francesco Ravazzolo, 2018. "Forecasting Cryptocurrencies Financial Time Series," Working Papers No 5/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    183. Florian Huber & Luca Onorante & Michael Pfarrhofer, 2022. "Forecasting euro area inflation using a huge panel of survey expectations," Papers 2207.12225, arXiv.org.
    184. Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
    185. Fabrizio Leisen & Luca Rossini & Cristiano Villa, 2020. "Loss-based approach to two-piece location-scale distributions with applications to dependent data," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 29(2), pages 309-333, June.
    186. Martin Magris & Mostafa Shabani & Alexandros Iosifidis, 2022. "Bayesian Bilinear Neural Network for Predicting the Mid-price Dynamics in Limit-Order Book Markets," Papers 2203.03613, arXiv.org, revised Jan 2023.
    187. Huber, Florian & Zörner, Thomas O., 2019. "Threshold cointegration in international exchange rates:A Bayesian approach," International Journal of Forecasting, Elsevier, vol. 35(2), pages 458-473.
    188. Todd E. Clark & Francesco Ravazzolo, 2012. "The macroeconomic forecasting performance of autoregressive models with alternative specifications of time-varying volatility," Working Paper 2012/09, Norges Bank.
    189. Francesco Ravazzolo & Shaun P Vahey, 2010. "Measuring Core Inflation in Australia with Disaggregate Ensembles," RBA Annual Conference Volume (Discontinued), in: Renée Fry & Callum Jones & Christopher Kent (ed.),Inflation in an Era of Relative Price Shocks, Reserve Bank of Australia.
    190. Huber, Florian, 2018. "Dealing with heterogeneity in panel VARs using sparse finite mixtures," Department of Economics Working Paper Series 262, WU Vienna University of Economics and Business.
    191. Anna Pajor & Justyna Wróblewska & Łukasz Kwiatkowski & Jacek Osiewalski, 2024. "Hybrid SV‐GARCH, t‐GARCH and Markov‐switching covariance structures in VEC models—Which is better from a predictive perspective?," International Statistical Review, International Statistical Institute, vol. 92(1), pages 62-86, April.
    192. Chua, Chew Lian & Suardi, Sandy & Tsiaplias, Sarantis, 2013. "Predicting short-term interest rates using Bayesian model averaging: Evidence from weekly and high frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 442-455.
    193. Warne, Anders & Coenen, Günter & Christoffel, Kai, 2013. "Predictive likelihood comparisons with DSGE and DSGE-VAR models," Working Paper Series 1536, European Central Bank.
    194. Cem Çakmakli, 2012. "Bayesian Semiparametric Dynamic Nelson-Siegel Model," Working Paper series 59_12, Rimini Centre for Economic Analysis, revised Sep 2012.
    195. Carlos Henrique Dias Cordeiro de Castro & Fernando Antonio Lucena Aiube, 2023. "Forecasting inflation time series using score‐driven dynamic models and combination methods: The case of Brazil," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 369-401, March.
    196. Francesco Ravazzolo & Philip Rothman, 2015. "Oil-Price Density Forecasts of U.S. GDP," Working Papers No 10/2015, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    197. Trujillo-Barrera, Andres & Pennings, Joost M.E., 2013. "Energy and Food Commodity Prices Linkage: An Examination with Mixed-Frequency Data," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150465, Agricultural and Applied Economics Association.
    198. Cobb, Marcus P A, 2017. "Aggregate Density Forecasting from Disaggregate Components Using Large VARs," MPRA Paper 76849, University Library of Munich, Germany.
    199. Byrne, Joseph P. & Cao, Shuo & Korobilis, Dimitris, 2017. "Forecasting the term structure of government bond yields in unstable environments," Journal of Empirical Finance, Elsevier, vol. 44(C), pages 209-225.
    200. Consolo, Agostino & Foroni, Claudia & Martínez Hernández, Catalina, 2021. "A mixed frequency BVAR for the euro area labour market," Working Paper Series 2601, European Central Bank.
    201. Dellaportas, Petros & Titsias, Michalis K. & Petrova, Katerina & Plataniotis, Anastasios, 2023. "Scalable inference for a full multivariate stochastic volatility model," Journal of Econometrics, Elsevier, vol. 232(2), pages 501-520.
    202. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2019. "Density Forecasting," BEMPS - Bozen Economics & Management Paper Series BEMPS59, Faculty of Economics and Management at the Free University of Bozen.
    203. Huurman, Christian & Ravazzolo, Francesco & Zhou, Chen, 2012. "The power of weather," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3793-3807.

  9. Joyce E. Berg & John Geweke & Thomas A. Rietz, 2010. "Memoirs of an indifferent trader: Estimating forecast distributions from prediction markets," Quantitative Economics, Econometric Society, vol. 1(1), pages 163-186, July.

    Cited by:

    1. Berg, Joyce E. & Rietz, Thomas A., 2019. "Longshots, overconfidence and efficiency on the Iowa Electronic Market," International Journal of Forecasting, Elsevier, vol. 35(1), pages 271-287.
    2. Ng, Jason & Forbes, Catherine S. & Martin, Gael M. & McCabe, Brendan P.M., 2013. "Non-parametric estimation of forecast distributions in non-Gaussian, non-linear state space models," International Journal of Forecasting, Elsevier, vol. 29(3), pages 411-430.
    3. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    4. Sung, Ming-Chien & McDonald, David C.J. & Johnson, Johnnie E.V. & Tai, Chung-Ching & Cheah, Eng-Tuck, 2019. "Improving prediction market forecasts by detecting and correcting possible over-reaction to price movements," European Journal of Operational Research, Elsevier, vol. 272(1), pages 389-405.

  10. Daniel Ackerberg & John Geweke & Jinyong Hahn, 2009. "Comments on "Convergence Properties of the Likelihood of Computed Dynamic Models"," Econometrica, Econometric Society, vol. 77(6), pages 2009-2017, November.

    Cited by:

    1. Thomas H. Jørgensen, 2017. "Life-Cycle Consumption and Children: Evidence from a Structural Estimation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(5), pages 717-746, October.
    2. Dennis Kristensen & Bernard Salanie, 2013. "Higher-order properties of approximate estimators," CeMMAP working papers 45/13, Institute for Fiscal Studies.
    3. Yi Wen & Huabin Wu, 2011. "Dynamics of externalities: a second-order perspective," Review, Federal Reserve Bank of St. Louis, vol. 93(May), pages 187-206.
    4. Thomas H. Jørgensen, 2014. "Life-Cycle Consumption and Children," CAM Working Papers 2014_02, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    5. Andreas Tryphonides, 2018. "Tilting Approximate Models," Papers 1805.10869, arXiv.org, revised Mar 2024.
    6. Lee, Jinhyuk & Seo, Kyoungwon, 2016. "Revisiting the nested fixed-point algorithm in BLP random coefficients demand estimation," Economics Letters, Elsevier, vol. 149(C), pages 67-70.
    7. Sarolta Laczo, 2010. "Estimating Dynamic Contracts: Risk Sharing in Village Economies," 2010 Meeting Papers 687, Society for Economic Dynamics.

  11. Geweke, John & Groenen, Patrick J.F. & Paap, Richard & van Dijk, Herman K., 2007. "Computational techniques for applied econometric analysis of macroeconomic and financial processes," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3506-3508, April.

    Cited by:

    1. Wolfgang Polasek, 2008. "Jean-Michel Marin, Christian P. Robert: Bayesian Core. A Practical Approach to Computational Bayesian Statistics," Statistical Papers, Springer, vol. 49(2), pages 397-398, April.

  12. Geweke, John & Keane, Michael, 2007. "Smoothly mixing regressions," Journal of Econometrics, Elsevier, vol. 138(1), pages 252-290, May.

    Cited by:

    1. Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2016. "Dynamic Predictive Density Combinations for Large Data Sets in Economics and Finance," Tinbergen Institute Discussion Papers 15-084/III, Tinbergen Institute, revised 03 Jul 2017.
    2. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2023. "Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP012023, School of Economics, University of Queensland, Australia.
    3. Villani, Mattias & Kohn, Robert & Giordani, Paolo, 2009. "Regression density estimation using smooth adaptive Gaussian mixtures," Journal of Econometrics, Elsevier, vol. 153(2), pages 155-173, December.
    4. Mike Tsionas & Marwan Izzeldin & Lorenzo Trapani, 2019. "Bayesian estimation of large dimensional time varying VARs using copulas," Papers 1912.12527, arXiv.org.
    5. Mark J. Jensen & John M. Maheu, 2008. "Bayesian semiparametric stochastic volatility modeling," FRB Atlanta Working Paper 2008-15, Federal Reserve Bank of Atlanta.
    6. Engemann, Kristie M. & Kliesen, Kevin L. & Owyang, Michael T., 2011. "Do Oil Shocks Drive Business Cycles? Some U.S. And International Evidence," Macroeconomic Dynamics, Cambridge University Press, vol. 15(S3), pages 498-517, November.
    7. Keefe Murphy & Thomas Brendan Murphy, 2020. "Gaussian parsimonious clustering models with covariates and a noise component," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 14(2), pages 293-325, June.
    8. Audra Bowlus & Jean-Marc Robin, 2008. "An international comparison of lifetime labor income values and inequality: a bounds approach," Sciences Po publications info:hdl:2441/dc0ckec3fcb, Sciences Po.
    9. Griffin, J.E. & Steel, M.F.J., 2011. "Stick-breaking autoregressive processes," Journal of Econometrics, Elsevier, vol. 162(2), pages 383-396, June.
    10. Tsionas, Mike G. & Izzeldin, Marwan & Trapani, Lorenzo, 2022. "Estimation of large dimensional time varying VARs using copulas," European Economic Review, Elsevier, vol. 141(C).
    11. BOUADDI, Mohammed & ROMBOUTS, Jeroen V.K., 2007. "Mixed exponential power asymmetric conditional heteroskedasticity," LIDAM Discussion Papers CORE 2007097, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    12. Almeida e Santos Nogueira, R.J. & Basturk, N. & Kaymak, U. & Costa Sousa, J.M., 2013. "Estimation of flexible fuzzy GARCH models for conditional density estimation," ERIM Report Series Research in Management ERS-2013-013-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    13. Tsionas, Mike, 2022. "Efficiency estimation using probabilistic regression trees with an application to Chilean manufacturing industries," International Journal of Production Economics, Elsevier, vol. 249(C).
    14. Pelenis, Justinas, 2012. "Bayesian Semiparametric Regression," Economics Series 285, Institute for Advanced Studies.
    15. Conley, Timothy G. & Hansen, Christian B. & McCulloch, Robert E. & Rossi, Peter E., 2008. "A semi-parametric Bayesian approach to the instrumental variable problem," Journal of Econometrics, Elsevier, vol. 144(1), pages 276-305, May.
    16. Keane, Michael P. & Wasi, Nada, 2016. "How to model consumer heterogeneity? Lessons from three case studies on SP and RP data," Research in Economics, Elsevier, vol. 70(2), pages 197-231.
    17. Zhang, Xibin & King, Maxwell L. & Shang, Han Lin, 2014. "A sampling algorithm for bandwidth estimation in a nonparametric regression model with a flexible error density," Computational Statistics & Data Analysis, Elsevier, vol. 78(C), pages 218-234.
    18. Jeremy T. Fox & Kyoo il Kim, 2011. "A Simple Nonparametric Approach to Estimating the Distribution of Random Coefficients in Structural Models," NBER Working Papers 17283, National Bureau of Economic Research, Inc.
    19. Li, Mingliang & Tobias, Justin L., 2011. "Bayesian inference in a correlated random coefficients model: Modeling causal effect heterogeneity with an application to heterogeneous returns to schooling," Journal of Econometrics, Elsevier, vol. 162(2), pages 345-361, June.
    20. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    21. Drobetz, Wolfgang & Merikas, Andreas & Merika, Anna & Tsionas, Mike G., 2014. "Corporate social responsibility disclosure: The case of international shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 71(C), pages 18-44.
    22. Kalli, Maria & Griffin, Jim E., 2018. "Bayesian nonparametric vector autoregressive models," Journal of Econometrics, Elsevier, vol. 203(2), pages 267-282.
    23. Mike G. Tsionas, 2017. "“When, Where, and How” of Efficiency Estimation: Improved Procedures for Stochastic Frontier Modeling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 948-965, July.
    24. Topaloglou, Nikolas & Tsionas, Mike G., 2020. "Stochastic dominance tests," Journal of Economic Dynamics and Control, Elsevier, vol. 112(C).
    25. Tsionas, Mike G. & Izzeldin, Marwan, 2018. "Smooth approximations to monotone concave functions in production analysis: An alternative to nonparametric concave least squares," European Journal of Operational Research, Elsevier, vol. 271(3), pages 797-807.
    26. Villani, Mattias & Kohn, Robert & Giordani, Paolo, 2007. "Nonparametric Regression Density Estimation Using Smoothly Varying Normal Mixtures," Working Paper Series 211, Sveriges Riksbank (Central Bank of Sweden).
    27. Li, Feng & Kang, Yanfei, 2018. "Improving forecasting performance using covariate-dependent copula models," International Journal of Forecasting, Elsevier, vol. 34(3), pages 456-476.
    28. Stéphane Bonhomme & Jean-Marc Robin, 2009. "Assessing the Equalizing Force of Mobility Using Short Panels: France, 1990–2000," Sciences Po publications info:hdl:2441/eu4vqp9ompq, Sciences Po.
    29. Michal Franta & Jan Libich, 2024. "Holding the economy by the tail: analysis of short- and long-run macroeconomic risks," Empirical Economics, Springer, vol. 66(4), pages 1443-1489, April.
    30. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    31. Fukuyama, Hirofumi & Tsionas, Mike & Tan, Yong, 2023. "Dynamic network data envelopment analysis with a sequential structure and behavioural-causal analysis: Application to the Chinese banking industry," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1360-1373.
    32. Michael P. Keane & Olean Stavrunova, 2014. "Adverse Selection, Moral Hazard and the Demand for Medigap Insurance," Economics Papers 2014-W02, Economics Group, Nuffield College, University of Oxford.
    33. Deborah Gefang & Gary Koop & Simon M. Potter, 2009. "The Dynamics of UK and US Inflation Expectations," Working Paper series 14_09, Rimini Centre for Economic Analysis.
    34. Norets, Andriy, 2015. "Bayesian regression with nonparametric heteroskedasticity," Journal of Econometrics, Elsevier, vol. 185(2), pages 409-419.
    35. Chib, Siddhartha & Greenberg, Edward, 2010. "Additive cubic spline regression with Dirichlet process mixture errors," Journal of Econometrics, Elsevier, vol. 156(2), pages 322-336, June.
    36. León, Carmelo J. & Araña, Jorge E. & Hanemann, W. Michael & Riera, Pere, 2014. "Heterogeneity and emotions in the valuation of non-use damages caused by oil spills," Ecological Economics, Elsevier, vol. 97(C), pages 129-139.
    37. Danaf, Mazen & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Logit mixture with inter and intra-consumer heterogeneity and flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 35(C).
    38. Fatih Guvenen & Fatih Karahan & Serdar Ozkan, 2018. "Consumption and Savings Under Non-Gaussian Income Risk," 2018 Meeting Papers 314, Society for Economic Dynamics.
    39. Bitto, Angela & Frühwirth-Schnatter, Sylvia, 2019. "Achieving shrinkage in a time-varying parameter model framework," Journal of Econometrics, Elsevier, vol. 210(1), pages 75-97.
    40. Joshua C.C. Chan & Gary Koop, 2013. "Modelling Breaks and Clusters in the Steady States of Macroeconomic Variables," ANU Working Papers in Economics and Econometrics 2013-603, Australian National University, College of Business and Economics, School of Economics.
    41. Michael Keane & Olena Stavrunova, 2011. "A smooth mixture of Tobits model for healthcare expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 20(9), pages 1126-1153, September.
    42. James D. Hamilton & Michael T. Owyang, 2012. "The Propagation of Regional Recessions," The Review of Economics and Statistics, MIT Press, vol. 94(4), pages 935-947, November.
    43. Markus Jochmann, 2013. "What belongs where? Variable selection for zero-inflated count models with an application to the demand for health care," Computational Statistics, Springer, vol. 28(5), pages 1947-1964, October.
    44. Munkin M & Trivedi P. K, 2009. "Incentives and Selection Effects of Drug Coverage on Total Drug Expenditure: a Finite Mixture Approach," Health, Econometrics and Data Group (HEDG) Working Papers 09/22, HEDG, c/o Department of Economics, University of York.
    45. Zeng, Zijian & Li, Meng, 2021. "Bayesian median autoregression for robust time series forecasting," International Journal of Forecasting, Elsevier, vol. 37(2), pages 1000-1010.
    46. Liu, Xinyi & Margaritis, Dimitris & Wang, Peiming, 2012. "Stock market volatility and equity returns: Evidence from a two-state Markov-switching model with regressors," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 483-496.
    47. Xiong, Yingge & Mannering, Fred L., 2013. "The heterogeneous effects of guardian supervision on adolescent driver-injury severities: A finite-mixture random-parameters approach," Transportation Research Part B: Methodological, Elsevier, vol. 49(C), pages 39-54.
    48. Norets, Andriy & Pelenis, Justinas, 2012. "Bayesian modeling of joint and conditional distributions," Journal of Econometrics, Elsevier, vol. 168(2), pages 332-346.
    49. Aßmann, Christian & Boysen-Hogrefe, Jens, 2011. "A Bayesian approach to model-based clustering for binary panel probit models," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 261-279, January.
    50. Stéphane Bonhomme & Jean-Marc Robin, 2010. "Generalized Non-Parametric Deconvolution with an Application to Earnings Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 491-533.
    51. Hoogerheide, L.F. & van Dijk, H.K., 2007. "Note on neural network sampling for Bayesian inference of mixture processes," Econometric Institute Research Papers EI 2007-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    52. Michael P. Keane & Jonathan D. Ketcham & Nicolai V. Kuminoff & Timothy Neal, 2019. "Evaluating Consumers' Choices of Medicare Part D Plans: A Study in Behavioral Welfare Economics," NBER Working Papers 25652, National Bureau of Economic Research, Inc.
    53. Oskar Gustafsson & Mattias Villani & Pär Stockhammar, 2023. "Bayesian optimization of hyperparameters from noisy marginal likelihood estimates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(4), pages 577-595, June.
    54. Murat K. Munkin & Pravin K. Trivedi, 2010. "Disentangling incentives effects of insurance coverage from adverse selection in the case of drug expenditure: a finite mixture approach," Health Economics, John Wiley & Sons, Ltd., vol. 19(9), pages 1093-1108, September.
    55. Pelenis, Justinas, 2014. "Bayesian regression with heteroscedastic error density and parametric mean function," Journal of Econometrics, Elsevier, vol. 178(P3), pages 624-638.
    56. Audra Bowlus & Jean-Marc Robin, 2008. "An international comparison of lifetime labor income values and inequality," Working Papers hal-03459796, HAL.
    57. Marco Berrettini & Giuliano Galimberti & Saverio Ranciati, 2023. "Semiparametric finite mixture of regression models with Bayesian P-splines," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 17(3), pages 745-775, September.
    58. Murat K. Munkin, 2022. "Count Roy model with finite mixtures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1160-1181, September.
    59. Norets, Andriy & Pelenis, Justinas, 2022. "Adaptive Bayesian estimation of conditional discrete-continuous distributions with an application to stock market trading activity," Journal of Econometrics, Elsevier, vol. 230(1), pages 62-82.
    60. Nada Wasi & Michael P. Keane, 2012. "Estimation of Discrete Choice Models with Many Alternatives Using Random Subsets of the Full Choice Set: With an Application to Demand for Frozen Pizza," Economics Papers 2012-W13, Economics Group, Nuffield College, University of Oxford.
    61. Geweke, John, 2007. "Interpretation and inference in mixture models: Simple MCMC works," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3529-3550, April.
    62. Carmelo León & Jorge Araña & Javier León, 2013. "Correcting for Scale Perception Bias in Measuring Corruption: an Application to Chile and Spain," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(3), pages 977-995, December.
    63. Michael P. Keane & Nada Wasi, 2013. "The Structure of Consumer Taste Heterogeneity in Revealed vs. Stated Preference Data," Economics Papers 2013-W10, Economics Group, Nuffield College, University of Oxford.
    64. Sergei S. Shibaev, 2016. "Recession Propagation In Small Regional Economies: Spatial Spillovers And Endogenous Clustering," Working Paper 1369, Economics Department, Queen's University.
    65. Villani, Mattias & Kohn, Robert & Nott, David J., 2012. "Generalized smooth finite mixtures," Journal of Econometrics, Elsevier, vol. 171(2), pages 121-133.
    66. Stéphane Bonhomme & Elena Manresa, 2012. "Grouped Patterns of Heterogeneity in Panel Data," Working Papers wp2012_1208, CEMFI.
    67. Roberto Casarin & Stefano Grassi & Francesco Ravazzollo & Herman K. van Dijk, 2019. "Forecast Density Combinations with Dynamic Learning for Large Data Sets in Economics and Finance," Tinbergen Institute Discussion Papers 19-025/III, Tinbergen Institute.
    68. Zijian Zeng & Meng Li, 2020. "Bayesian Median Autoregression for Robust Time Series Forecasting," Papers 2001.01116, arXiv.org, revised Dec 2020.
    69. Roberto Casarin & Stefano Grassi & Francesco Ravazzolo & Herman K. van Dijk, 2021. "A Bayesian Dynamic Compositional Model for Large Density Combinations in Finance," Tinbergen Institute Discussion Papers 21-016/III, Tinbergen Institute.
    70. Komunjer, Ivana, 2013. "Quantile Prediction," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 961-994, Elsevier.
    71. Panagiotelis, Anastasios & Smith, Michael, 2008. "Bayesian identification, selection and estimation of semiparametric functions in high-dimensional additive models," Journal of Econometrics, Elsevier, vol. 143(2), pages 291-316, April.
    72. Mike G. Tsionas & Valentin Zelenyuk, 2022. "Testing for Optimization Behavior in Production when Data is with Measurement Errors: A Bayesian Approach," CEPA Working Papers Series WP012022, School of Economics, University of Queensland, Australia.
    73. Quiroz, Matias & Villani, Mattias, 2013. "Dynamic mixture-of-experts models for longitudinal and discrete-time survival data," Working Paper Series 268, Sveriges Riksbank (Central Bank of Sweden).
    74. Han, Yufeng, 2012. "State uncertainty in stock markets: How big is the impact on the cost of equity?," Journal of Banking & Finance, Elsevier, vol. 36(9), pages 2575-2592.
    75. Castelnuovo, Efrem & Greco, Luciano & Raggi, Davide, 2008. "Estimating regime-switching Taylor rules with trend inflation," Bank of Finland Research Discussion Papers 20/2008, Bank of Finland.
    76. Mike Tsionas & Christopher F. Parmeter & Valentin Zelenyuk, 2021. "Bridging the Divide? Bayesian Artificial Neural Networks for Frontier Efficiency Analysis," CEPA Working Papers Series WP082021, School of Economics, University of Queensland, Australia.
    77. Michael Keane & Nada Wasi, 2013. "Comparing Alternative Models Of Heterogeneity In Consumer Choice Behavior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(6), pages 1018-1045, September.

  13. Geweke, John, 2007. "Interpretation and inference in mixture models: Simple MCMC works," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3529-3550, April.

    Cited by:

    1. Bauwens, Luc & Dufays, Arnaud & Rombouts, Jeroen V.K., 2014. "Marginal likelihood for Markov-switching and change-point GARCH models," Journal of Econometrics, Elsevier, vol. 178(P3), pages 508-522.
    2. Villani, Mattias & Kohn, Robert & Giordani, Paolo, 2009. "Regression density estimation using smooth adaptive Gaussian mixtures," Journal of Econometrics, Elsevier, vol. 153(2), pages 155-173, December.
    3. Klaus Moeltner & A. Ford Ramsey & Clinton L. Neill, 2021. "Bayesian Kinked Regression with Unobserved Thresholds: An Application to the von Liebig Hypothesis," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(5), pages 1832-1856, October.
    4. Mark J. Jensen & John M. Maheu, 2008. "Bayesian semiparametric stochastic volatility modeling," FRB Atlanta Working Paper 2008-15, Federal Reserve Bank of Atlanta.
    5. Cem Cakmakli & Richard Paap & Dick J.C. van Dijk, 2011. "Modeling and Estimation of Synchronization in Multistate Markov-Switching Models," Tinbergen Institute Discussion Papers 11-002/4, Tinbergen Institute.
    6. Paap, R. & Segers, R. & van Dijk, D.J.C., 2007. "Do leading indicators lead peaks more than troughs?," Econometric Institute Research Papers EI 2007-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Kutlu, Levent & Sickles, Robin & Tsionas, Mike G., 2019. "Heterogeneous Decision-Making and Market Power," Working Papers 19-008, Rice University, Department of Economics.
    8. Gianni Amisano & Oreste Tristani, 2019. "Uncertainty Shocks, Monetary Policy and Long-Term Interest Rates," Finance and Economics Discussion Series 2019-024, Board of Governors of the Federal Reserve System (U.S.).
    9. Bauwens, Luc & Carpantier, Jean-François & Dufays, Arnaud, 2015. "Autoregressive moving average infinite hidden markov-switching models," LIDAM Discussion Papers CORE 2015007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    10. Geweke, John & Jiang, Yu, 2011. "Inference and prediction in a multiple-structural-break model," Journal of Econometrics, Elsevier, vol. 163(2), pages 172-185, August.
    11. Didier Nibbering, 2023. "A High-dimensional Multinomial Logit Model," Monash Econometrics and Business Statistics Working Papers 19/23, Monash University, Department of Econometrics and Business Statistics.
    12. Basturk, N. & Paap, R. & van Dijk, D.J.C., 2010. "Financial Development and Convergence Clubs," Econometric Institute Research Papers EI 2010-52, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. David Gunawan & William Griffths & Anatasios Panagiotelis and Duangkamon Chotikapanich, 2017. "Bayesian Weighted Inference from Surveys "Abstract: Data from large surveys are often supplemented with sampling weights that are designed to reflect unequal probabilities of response and selecti," Department of Economics - Working Papers Series 2030, The University of Melbourne.
    14. Grazian, Clara & Robert, Christian P., 2018. "Jeffreys priors for mixture estimation: Properties and alternatives," Computational Statistics & Data Analysis, Elsevier, vol. 121(C), pages 149-163.
    15. Fisher, Mark & Jensen, Mark J., 2022. "Bayesian nonparametric learning of how skill is distributed across the mutual fund industry," Journal of Econometrics, Elsevier, vol. 230(1), pages 131-153.
    16. Mark Fisher & Mark J. Jensen, 2018. "Bayesian Inference and Prediction of a Multiple-Change-Point Panel Model with Nonparametric Priors," FRB Atlanta Working Paper 2018-2, Federal Reserve Bank of Atlanta.
    17. Subal C. Kumbhakar & Mike G. Tsionas, 2021. "Estimation of costs of technical and allocative inefficiency," Journal of Productivity Analysis, Springer, vol. 55(1), pages 41-46, February.
    18. Song, Yong & Shi, Shuping, 2012. "Identifying speculative bubbles with an in finite hidden Markov model," MPRA Paper 36455, University Library of Munich, Germany.
    19. Perrakis, Konstantinos & Ntzoufras, Ioannis & Tsionas, Efthymios G., 2014. "On the use of marginal posteriors in marginal likelihood estimation via importance sampling," Computational Statistics & Data Analysis, Elsevier, vol. 77(C), pages 54-69.
    20. Tsionas, Mike G., 2019. "Transition and limiting distributions when covariates are available," Economics Letters, Elsevier, vol. 183(C), pages 1-1.
    21. David Ardia & Lennart F. Hoogerheide & Herman K. van Dijk, 2008. "Adaptive Mixture of Student-t distributions as a Flexible Candidate Distribution for Efficient Simulation: the R Package AdMit," Tinbergen Institute Discussion Papers 08-062/4, Tinbergen Institute, revised 15 Dec 2008.
    22. Jurgen A. Doornik & Marius Ooms, 2003. "Multimodality in the GARCH Regression Model," Economics Papers 2003-W20, Economics Group, Nuffield College, University of Oxford.
    23. Reichl Johannes, 2020. "Estimating marginal likelihoods from the posterior draws through a geometric identity," Monte Carlo Methods and Applications, De Gruyter, vol. 26(3), pages 205-221, September.
    24. Çakmaklı, Cem & Paap, Richard & van Dijk, Dick, 2013. "Measuring and predicting heterogeneous recessions," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2195-2216.
    25. Li, Mingliang & Tobias, Justin L., 2011. "Bayesian inference in a correlated random coefficients model: Modeling causal effect heterogeneity with an application to heterogeneous returns to schooling," Journal of Econometrics, Elsevier, vol. 162(2), pages 345-361, June.
    26. David Ardia & Lennart F. Hoogerheide, 2010. "Efficient Bayesian Estimation and Combination of GARCH-Type Models," Tinbergen Institute Discussion Papers 10-046/4, Tinbergen Institute.
    27. de Pooter, M.D. & Ravazzolo, F. & Segers, R. & van Dijk, H.K., 2008. "Bayesian near-boundary analysis in basic macroeconomic time series models," Econometric Institute Research Papers EI 2008-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    28. Liu, Jia & Maheu, John M & Song, Yong, 2023. "Identification and Forecasting of Bull and Bear Markets using Multivariate Returns," MPRA Paper 119515, University Library of Munich, Germany.
    29. Hoogerheide, Lennart & Opschoor, Anne & van Dijk, Herman K., 2012. "A class of adaptive importance sampling weighted EM algorithms for efficient and robust posterior and predictive simulation," Journal of Econometrics, Elsevier, vol. 171(2), pages 101-120.
    30. Villani, Mattias & Kohn, Robert & Giordani, Paolo, 2007. "Nonparametric Regression Density Estimation Using Smoothly Varying Normal Mixtures," Working Paper Series 211, Sveriges Riksbank (Central Bank of Sweden).
    31. Hou, Chenghan, 2017. "Infinite hidden markov switching VARs with application to macroeconomic forecast," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1025-1043.
    32. Lennart Hoogerheide & Anne Opschoor & Herman K. van Dijk, 2011. "A Class of Adaptive EM-based Importance Sampling Algorithms for Efficient and Robust Posterior and Predictive Simulation," Tinbergen Institute Discussion Papers 11-004/4, Tinbergen Institute.
    33. Michael P. Keane & Olean Stavrunova, 2014. "Adverse Selection, Moral Hazard and the Demand for Medigap Insurance," Economics Papers 2014-W02, Economics Group, Nuffield College, University of Oxford.
    34. Brendan Kline & Justin L. Tobias, 2008. "The wages of BMI: Bayesian analysis of a skewed treatment-response model with nonparametric endogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 767-793.
    35. Carmelo J. León & Jorge E. Araña, 2012. "The Dynamics of Preference Elicitation after an Environmental Disaster: Stability and Emotional Load," Land Economics, University of Wisconsin Press, vol. 88(2), pages 362-381.
    36. Yasutomo Murasawa, 2020. "Measuring public inflation perceptions and expectations in the UK," Empirical Economics, Springer, vol. 59(1), pages 315-344, July.
    37. León, Carmelo J. & Araña, Jorge E. & Hanemann, W. Michael & Riera, Pere, 2014. "Heterogeneity and emotions in the valuation of non-use damages caused by oil spills," Ecological Economics, Elsevier, vol. 97(C), pages 129-139.
    38. Tsionas, Mike G., 2020. "On a model of environmental performance and technology gaps," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1141-1152.
    39. Masaru Chiba, 2023. "Robust and efficient specification tests in Markov-switching autoregressive models," Statistical Inference for Stochastic Processes, Springer, vol. 26(1), pages 99-137, April.
    40. David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2017. "Bayesian Assessment of Lorenz and Stochastic Dominance," Department of Economics - Working Papers Series 2029, The University of Melbourne.
    41. Olofsson, Petter & Råholm, Anna & Uddin, Gazi Salah & Troster, Victor & Kang, Sang Hoon, 2021. "Ethical and unethical investments under extreme market conditions," International Review of Financial Analysis, Elsevier, vol. 78(C).
    42. Yong Song & Tomasz Wo'zniak, 2020. "Markov Switching," Papers 2002.03598, arXiv.org.
    43. Norets, Andriy & Pelenis, Justinas, 2012. "Bayesian modeling of joint and conditional distributions," Journal of Econometrics, Elsevier, vol. 168(2), pages 332-346.
    44. Balcombe, Kelvin & Fraser, Iain, 2017. "Do bubbles have an explosive signature in markov switching models?," Economic Modelling, Elsevier, vol. 66(C), pages 81-100.
    45. Garland Durham & John Geweke, 2013. "Adaptive Sequential Posterior Simulators for Massively Parallel Computing Environments," Working Paper Series 9, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    46. Brendan Kline & Justin L. Tobias, 2014. "Explaining Trends in Body Mass Index Using Demographic Counterfactuals," Econometric Reviews, Taylor & Francis Journals, vol. 33(1-4), pages 172-196, June.
    47. Jiang, Yu, 2020. "Identification of business cycles and the Great Moderation in the post-war U.S. economy," Economics Letters, Elsevier, vol. 190(C).
    48. Levent Kutlu & Robin C. Sickles & Mike G. Tsionas & Emmanuel Mamatzakis, 2022. "Heterogeneous decision-making and market power: an application to Eurozone banks," Empirical Economics, Springer, vol. 63(6), pages 3061-3092, December.
    49. Aßmann, Christian & Boysen-Hogrefe, Jens, 2011. "A Bayesian approach to model-based clustering for binary panel probit models," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 261-279, January.
    50. James D. Hamilton, 2016. "Macroeconomic Regimes and Regime Shifts," NBER Working Papers 21863, National Bureau of Economic Research, Inc.
    51. Hoogerheide, L.F. & van Dijk, H.K., 2007. "Note on neural network sampling for Bayesian inference of mixture processes," Econometric Institute Research Papers EI 2007-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    52. Lennart Hoogerheide & Herman K. van Dijk, 2008. "Possibly Ill-behaved Posteriors in Econometric Models," Tinbergen Institute Discussion Papers 08-036/4, Tinbergen Institute, revised 18 Apr 2008.
    53. Tsionas, Mike G., 2020. "A note on Sigma–Mu efficiency analysis as a methodology for evaluating units through composite indicators," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1187-1196.
    54. Murat K. Munkin & Pravin K. Trivedi, 2010. "Disentangling incentives effects of insurance coverage from adverse selection in the case of drug expenditure: a finite mixture approach," Health Economics, John Wiley & Sons, Ltd., vol. 19(9), pages 1093-1108, September.
    55. Qian, Hang, 2009. "Bayesian Portfolio Selection with Gaussian Mixture Returns," MPRA Paper 32688, University Library of Munich, Germany.
    56. Murasawa, Yasutomo, 2017. "Measuring the Distributions of Public Inflation Perceptions and Expectations in the UK," MPRA Paper 76244, University Library of Munich, Germany.
    57. van Dijk, A. & van Rosmalen, J.M. & Paap, R., 2009. "A Bayesian approach to two-mode clustering," Econometric Institute Research Papers EI 2009-06, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    58. Murat K. Munkin, 2022. "Count Roy model with finite mixtures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1160-1181, September.
    59. Jean-François Carpantier & Arnaud Dufays, 2014. "Specific Markov-switching behaviour for ARMA parameters," Working Papers hal-01821134, HAL.
    60. Markku Lanne & Jani Luoto, 2016. "Data-Driven Inference on Sign Restrictions in Bayesian Structural Vector Autoregression," CREATES Research Papers 2016-04, Department of Economics and Business Economics, Aarhus University.
    61. Yu Jiang & Xianming Fang, 2014. "Identify regimes in post-war US GDP growth," Applied Economics Letters, Taylor & Francis Journals, vol. 21(6), pages 397-401, April.
    62. Feng Li & Mattias Villani, 2013. "Efficient Bayesian Multivariate Surface Regression," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 40(4), pages 706-723, December.
    63. Qian, Hang, 2011. "Bayesian Portfolio Selection in a Markov Switching Gaussian Mixture Model," MPRA Paper 35561, University Library of Munich, Germany.
    64. Puonti, Päivi, 2019. "Data-driven structural BVAR analysis of unconventional monetary policy," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    65. Thomas St�rdal Gundersen & Even Soltvedt Hvinden, 2021. "OPEC's crude game: Strategic Competition and Regime-switching in Global Oil Markets," Working Papers No 01/2021, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    66. Yin, Ming, 2015. "Estimating Gaussian Mixture Autoregressive model with Sequential Monte Carlo algorithm: A parallel GPU implementation," MPRA Paper 88111, University Library of Munich, Germany, revised 2018.
    67. Didier Nibbering, 2024. "A high‐dimensional multinomial logit model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(3), pages 481-497, April.
    68. Cornwall, Gary J. & Parent, Olivier, 2017. "Embracing heterogeneity: the spatial autoregressive mixture model," Regional Science and Urban Economics, Elsevier, vol. 64(C), pages 148-161.
    69. Drivas, Kyriakos & Economidou, Claire & Tsionas, Efthymios G., 2014. "A Poisson Stochastic Frontier Model with Finite Mixture Structure," MPRA Paper 57485, University Library of Munich, Germany.
    70. Cabral, Celso Rômulo Barbosa & Bolfarine, Heleno & Pereira, José Raimundo Gomes, 2008. "Bayesian density estimation using skew student-t-normal mixtures," Computational Statistics & Data Analysis, Elsevier, vol. 52(12), pages 5075-5090, August.
    71. Quiroz, Matias & Villani, Mattias, 2013. "Dynamic mixture-of-experts models for longitudinal and discrete-time survival data," Working Paper Series 268, Sveriges Riksbank (Central Bank of Sweden).
    72. Li, Mingliang & Mumford, Kevin J. & Tobias, Justin L., 2012. "A Bayesian analysis of payday loans and their regulation," Journal of Econometrics, Elsevier, vol. 171(2), pages 205-216.

  14. John Geweke, 2007. "Bayesian Model Comparison and Validation," American Economic Review, American Economic Association, vol. 97(2), pages 60-64, May.

    Cited by:

    1. Vanslette, Kevin & Tohme, Tony & Youcef-Toumi, Kamal, 2020. "A general model validation and testing tool," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    2. Merlo, Antonio & Palfrey, Thomas R., 2014. "External Validation of Voter Turnout Models by Concealed Parameter Recovery," Working Papers 14-015, Rice University, Department of Economics.
    3. Yong Li & Jun Yu, 2011. "Bayesian Hypothesis Testing in Latent Variable Models," Working Papers 11-2011, Singapore Management University, School of Economics.
    4. Jon Faust & Abhishek Gupta, 2012. "Posterior Predictive Analysis for Evaluating DSGE Models," NBER Working Papers 17906, National Bureau of Economic Research, Inc.
    5. Gupta, Abhishek, 2010. "A Forecasting Metric for Evaluating DSGE Models for Policy Analysis," MPRA Paper 26718, University Library of Munich, Germany.
    6. Yong Li & Xiao-Bin Liu & Jun Yu, 2014. "A Bayesian Chi-Squared Test for Hypothesis Testing," Working Papers 03-2014, Singapore Management University, School of Economics.
    7. Edward P. Herbst & Frank Schorfheide, 2011. "Evaluating DSGE model forecasts of comovements," Working Papers 11-5, Federal Reserve Bank of Philadelphia.
    8. Brede, Maren, 2018. "Real exchange rate dynamics in New-Keynesian models – The Balassa-Samuelson effect revisited," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181539, Verein für Socialpolitik / German Economic Association.
    9. Zhiqiang (Eric) Zheng & Paul A. Pavlou & Bin Gu, 2014. "Latent Growth Modeling for Information Systems: Theoretical Extensions and Practical Applications," Information Systems Research, INFORMS, vol. 25(3), pages 547-568, September.
    10. Giovanni Nicolo, 2020. "Monetary Policy, Self-Fulfilling Expectations and the U.S. Business Cycle," Finance and Economics Discussion Series 2020-035, Board of Governors of the Federal Reserve System (U.S.).
    11. Aman Ullah & Huansha Wang, 2013. "Parametric and Nonparametric Frequentist Model Selection and Model Averaging," Econometrics, MDPI, vol. 1(2), pages 1-23, September.
    12. Jon Faust, 2009. "Commentary on Issues on potential growth measurement and comparison: how structural is the production function approach?," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 241-246.
    13. Sankararaman, Shankar & Mahadevan, Sankaran, 2015. "Integration of model verification, validation, and calibration for uncertainty quantification in engineering systems," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 194-209.
    14. Del Negro, Marco & Eusepi, Stefano, 2011. "Fitting observed inflation expectations," Journal of Economic Dynamics and Control, Elsevier, vol. 35(12), pages 2105-2131.
    15. Yong Li & Jun Yu, 2010. "A New Bayesian Unit Root Test in Stochastic Volatility Models," Working Papers 21-2010, Singapore Management University, School of Economics, revised Oct 2010.
    16. Anoop Chaturvedi & Shivam Jaiswal, 2020. "Bayesian Estimation and Unit Root Test for Logistic Smooth Transition Autoregressive Process," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(4), pages 733-745, December.
    17. Li, Yong & Zeng, Tao & Yu, Jun, 2014. "A new approach to Bayesian hypothesis testing," Journal of Econometrics, Elsevier, vol. 178(P3), pages 602-612.
    18. Weidong Tian & Junya Jiang & Weidong Tian, 2017. "Model Uncertainty Effect on Asset Prices," International Review of Finance, International Review of Finance Ltd., vol. 17(2), pages 205-233, June.
    19. Yong Li & Jun Yu, 2019. "An Improved Bayesian Unit Root Test in Stochastic Volatility Models," Annals of Economics and Finance, Society for AEF, vol. 20(1), pages 103-122, May.
    20. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.

  15. Abrantes-Metz, Rosa M. & Froeb, Luke M. & Geweke, John & Taylor, Christopher T., 2006. "A variance screen for collusion," International Journal of Industrial Organization, Elsevier, vol. 24(3), pages 467-486, May.

    Cited by:

    1. Manganelli, Anton-Giulio, 2012. "Cartel Pricing Dynamics, Price Wars and Cartel Breakdown," TSE Working Papers 12-309, Toulouse School of Economics (TSE).
    2. Schindler, Dirk & Schjelderup, Guttorm, 2007. "Harmonization of Corporate Tax Systems and its Effect on Collusive Behavior," Discussion Papers 2007/8, Norwegian School of Economics, Department of Business and Management Science.
    3. Joseph E. Harrington, Jr. & Joe Chen, 2005. "Cartel Pricing Dynamics with Cost Variability and Endogenous Buyer Detection," CIRJE F-Series CIRJE-F-359, CIRJE, Faculty of Economics, University of Tokyo.
    4. Andreoli-Versbach, Patrick & Franck, Jens-Uwe, 2013. "Actions Speak Louder than Words: Econometric Evidence to Target Tacit Collusion in Oligopolistic Markets," Discussion Papers in Economics 16179, University of Munich, Department of Economics.
    5. Pim Heijnen & Marco A. Haan & Adriaan R. Soetevent, 2012. "Screening for Collusion: A Spatial Statistics Approach," Tinbergen Institute Discussion Papers 12-058/1, Tinbergen Institute.
    6. Joseph E. Harrington, Jr & Joe Chen, 2005. "he Impact of the Corporate Leniency Program on Cartel Formation and the Cartel Price Path," Economics Working Paper Archive 528, The Johns Hopkins University,Department of Economics.
    7. Paul Nillesen & Michael Pollitt, 2008. "Ownership unbundling in electricity distribution: empirical evidence from New Zealand," Working Papers EPRG 0820, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    8. Sylwester Bejger, 2015. "Screening for competition failures: some remarks on horizontal anticompetitive behavior visual detection," Ekonomia i Prawo, Uniwersytet Mikolaja Kopernika, vol. 14(2), pages 169-188, June.
    9. Kai Hüschelrath & Tobias Veith, 2014. "Cartel Detection in Procurement Markets," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 35(6), pages 404-422, September.
    10. Korbinian Blanckenburg & Alexander Geist, 2009. "How Can a Cartel Be Detected?," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 15(4), pages 421-436, November.
    11. Bolotova, Yuliya & Connor, John M. & Miller, Douglas J., 2005. "The Impact of Collusion on Price Behavior: Empirical Results from Two Recent Cases," 2005 Annual meeting, July 24-27, Providence, RI 19164, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    12. Brown, David P. & Eckert, Andrew & Lin, James, 2018. "Information and Transparency in Wholesale Electricity Markets: Evidence from Alberta," Working Papers 2018-2, University of Alberta, Department of Economics.
    13. Fourberg, Niklas, 2018. "Let's lock them in: Collusion under consumer switching costs," DICE Discussion Papers 296, Heinrich Heine University Düsseldorf, Düsseldorf Institute for Competition Economics (DICE).
    14. Kubinschi Matei & Barnea Dinu & Zlatcu Iuliana, 2019. "Estimating fuel price volatility and spillover effects across different European countries," Management & Marketing, Sciendo, vol. 14(4), pages 419-430, December.
    15. Cappelletti, Matilde & Giuffrida, Leonardo M., 2021. "Procuring survival," ZEW Discussion Papers 21-093, ZEW - Leibniz Centre for European Economic Research.
    16. Rieko Ishii, 2014. "Bid Roundness Under Collusion in Japanese Procurement Auctions," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(3), pages 241-254, May.
    17. Hakan Yilmazkuday, 2017. "Geographical dispersion of consumer search behaviour," Applied Economics, Taylor & Francis Journals, vol. 49(57), pages 5740-5752, December.
    18. Yue Cai, 2021. "Measuring Market Power in the IPO Underwriter," Working Papers 2108, Waseda University, Faculty of Political Science and Economics.
    19. Yaseen GHULAM, 2018. "The Impact Of Reforms And Privatization On Firms’ Conduct In The Presence Of Interconnected Conglomerates And Weak And Inefficient Regulatory Institutions," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 89(4), pages 599-622, December.
    20. Adriaan R. Soetevent & Marco A. Haan & Pim Heijnen, 2014. "Do Auctions and Forced Divestitures Increase Competition? Evidence for Retail Gasoline Markets," Journal of Industrial Economics, Wiley Blackwell, vol. 62(3), pages 467-502, September.
    21. Silveira, Douglas & Vasconcelos, Silvinha & Resende, Marcelo & Cajueiro, Daniel O., 2022. "Won’t Get Fooled Again: A supervised machine learning approach for screening gasoline cartels," Energy Economics, Elsevier, vol. 105(C).
    22. Morris, Stephen & Bergemann, Dirk & Brooks, Benjamin A, 2020. "Search, Information and Prices," CEPR Discussion Papers 14521, C.E.P.R. Discussion Papers.
    23. Ach Maulidi, 2017. "The Investigation and Elimination of Public Procurement Fraud in Government Sectors (A Case Study in Indonesia's Procurement System: Cases from 2006 to 2012)," International Journal of Economics and Financial Issues, Econjournals, vol. 7(2), pages 145-154.
    24. Hans W. Friederiszick & Frank P. Maier-Rigaud, 2008. "Triggering Inspections Ex Officio: Moving Beyond A Passive Eu Cartel Policy," Journal of Competition Law and Economics, Oxford University Press, vol. 4(1), pages 89-113.
    25. Kurdoglu, Berkay & Yucel, Eray, 2022. "A Cointegration-based cartel screen for detecting collusion," MPRA Paper 113888, University Library of Munich, Germany.
    26. Gunnar ALEXANDERSSON & Staffan HULTÉN, 2007. "High And Low Bids In Tenders: Strategic Pricing And Other Bidding Behaviour In Public Tenders Of Passenger Railway Services," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 78(2), pages 161-194, June.
    27. Li Gan & Manuel A. Hernandez, 2011. "Making friends with your neighbors? Agglomeration and tacit collusion in the lodging industry," NBER Working Papers 16739, National Bureau of Economic Research, Inc.
    28. Demet Yilmazkuday & Hakan Yilmazkuday, 2019. "Redistributive Effects of Gasoline Prices," Networks and Spatial Economics, Springer, vol. 19(1), pages 109-124, March.
    29. Imhof, David, 2017. "Simple Statistical Screens to Detect Bid Rigging," FSES Working Papers 484, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    30. Imhof, David & Wallimann, Hannes, 2021. "Detecting bid-rigging coalitions in different countries and auction formats," International Review of Law and Economics, Elsevier, vol. 68(C).
    31. José Manuel Ordóñez-de-Haro & Jordi Perdiguero & Juan-Luis Jiménez, 2020. "Fuel prices at petrol stations in touristic cities," Tourism Economics, , vol. 26(1), pages 45-69, February.
    32. Sylwester Bejger & Joanna Bruzda, 2011. "Detection of Collusion Equilibrium in an Industry with Application of Wavelet Analysis," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 155-170.
    33. Clark, Robert & Coviello, Decio & de Leverano, Adriano, 2020. "Complementary bidding and the collusive arrangement: Evidence from an antitrust investigation," ZEW Discussion Papers 20-052, ZEW - Leibniz Centre for European Economic Research.
    34. Korbinian von Blanckenburg & Marc Hanfeld & Konstantin A. Kholodilin, 2013. "A Market Screening Model for Price Inconstancies: Empirical Evidence from German Electricity Markets," Discussion Papers of DIW Berlin 1274, DIW Berlin, German Institute for Economic Research.
    35. Hannes Wallimann & David Imhof & Martin Huber, 2020. "A Machine Learning Approach for Flagging Incomplete Bid-rigging Cartels," Papers 2004.05629, arXiv.org.
    36. Fourberg, Niklas, 2017. "Let's lock them in: Collusion under Consumer Switching Costs," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168097, Verein für Socialpolitik / German Economic Association.
    37. Johan Lundberg, 2017. "On cartel detection and Moran’s I," Letters in Spatial and Resource Sciences, Springer, vol. 10(1), pages 129-139, March.
    38. Bejger, Sylwester, 2012. "Cartel in the Indian cement industry: An attempt to identify it," Economics Discussion Papers 2012-18, Kiel Institute for the World Economy (IfW Kiel).
    39. Federico Ciliberto & Jonathan W. Williams, 2014. "Does multimarket contact facilitate tacit collusion? Inference on conduct parameters in the airline industry," RAND Journal of Economics, RAND Corporation, vol. 45(4), pages 764-791, December.
    40. Abrantes-Metz, Rosa M. & Kraten, Michael & Metz, Albert D. & Seow, Gim S., 2012. "Libor manipulation?," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 136-150.
    41. Huber, Martin & Imhof, David, 2019. "Machine learning with screens for detecting bid-rigging cartels," International Journal of Industrial Organization, Elsevier, vol. 65(C), pages 277-301.
    42. Christian Lorenz, 2008. "Screening markets for cartel detection: collusive markers in the CFD cartel-audit," European Journal of Law and Economics, Springer, vol. 26(2), pages 213-232, October.
    43. Mats A. Bergman & Johan Lundberg & Sofia Lundberg & Johan Y. Stake, 2020. "Interactions Across Firms and Bid Rigging," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(1), pages 107-130, February.
    44. Christian Lorenz, "undated". "Der KMD-Kartellcheck - Marktscreening nach Kartellstrukturen am Beispiel des deutschen Zementmarkts," Working Papers 201162, Institute of Spatial and Housing Economics, Munster Universitary.
    45. Iuliana Zlatcu & Marta-Christina Suciu, 2017. "The role of economics in cartel detection. A review of cartel screens," Journal of Economic Development, Environment and People, Alliance of Central-Eastern European Universities, vol. 6(3), pages 16-26, September.
    46. Christos Genakos & Pantelis Koutroumpis & Mario Pagliero, 2014. "The Impact of Maximum Markup Regulation on Prices," Carlo Alberto Notebooks 371, Collegio Carlo Alberto.
    47. Hannes Wallimann & David Imhof & Martin Huber, 2023. "A Machine Learning Approach for Flagging Incomplete Bid-Rigging Cartels," Computational Economics, Springer;Society for Computational Economics, vol. 62(4), pages 1669-1720, December.
    48. Xavier Vanssay & Can Erutku, 2011. "Damage at the Pump: Does Punishment Fit the Crime?," Journal of Industry, Competition and Trade, Springer, vol. 11(4), pages 351-367, December.
    49. Maarten Pieter Schinkel, 2008. "Forensic Economics In Competition Law Enforcement," Journal of Competition Law and Economics, Oxford University Press, vol. 4(1), pages 1-30.
    50. Hüschelrath, Kai & Weigand, Jürgen, 2010. "Fighting hard core cartels," ZEW Discussion Papers 10-084, ZEW - Leibniz Centre for European Economic Research.
    51. David Imhof & Yavuz Karagök & SAMUEL RUTZ, 2017. "Screening for Bid-rigging. Does it Work?," Working Papers 2017-09, CRESE.
    52. David Granlund, 2022. "The Price Effects of Competition from Parallel Imports and Therapeutic Alternatives: Using Dynamic Models to Estimate the Causal Effect on the Extensive and Intensive Margins," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 60(1), pages 63-92, February.
    53. Benjamin Atkinson, Andrew Eckert, and Douglas S. West, 2014. "Daily Price Cycles and Constant Margins: Recent Events in Canadian Gasoline Retailing," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    54. Andreoli-Versbach, Patrick & Franck, Jens-Uwe, 2013. "Endogenous Price Commitment, Sticky and Leadership Pricing: Evidence from the Italian Petrol Market," Discussion Papers in Economics 16182, University of Munich, Department of Economics.
    55. Iwan Bos & Maarten Pieter Schinkel, 2009. "Tracing the Base: A Topographic Test for Collusive Basing-Point Pricing," Tinbergen Institute Discussion Papers 09-007/1, Tinbergen Institute.
    56. Joseph E. Harrington, Jr, 2005. "Detecting Cartels," Economics Working Paper Archive 526, The Johns Hopkins University,Department of Economics.
    57. Yuliya Bolotova & Christopher S. McIntosh & Paul E. Patterson & Kalamani Muthusamy, 2010. "Is stabilization of potato price effective? Empirical evidence from the Idaho Russet Burbank potato market," Agribusiness, John Wiley & Sons, Ltd., vol. 26(2), pages 177-201.
    58. Ricardo Carvalho Lima & Guilherme Mendes Resende, 2021. "Using the Moran’s I to detect bid rigging in Brazilian procurement auctions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 66(2), pages 237-254, April.
    59. Yilmazkuday Hakan, 2017. "Anti-Crime Laws and Retail Prices," Review of Law & Economics, De Gruyter, vol. 13(3), pages 1-18, November.
    60. Hunold, Matthias & Laitenberger, Ulrich & Licht, Georg & Nikogosian, Vigen & Stenzel, André & Ullrich, Hannes & Wolf, Christoph, 2011. "Modernisierung der Konzentrationsberichterstattung: Endbericht," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 110525, September.
    61. Bantle, Melissa, 2024. "Screen for collusive behavior: A machine learning approach," Hohenheim Discussion Papers in Business, Economics and Social Sciences 01-2024, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    62. Carsten J. Crede, 2019. "A Structural Break Cartel Screen for Dating and Detecting Collusion," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 54(3), pages 543-574, May.
    63. Bovin, Andreas & Bos, Iwan, 2023. "Market Shares as Collusive Marker: Evidence from the European Truck Industry," Research Memorandum 011, Maastricht University, Graduate School of Business and Economics (GSBE).
    64. Firgo, Matthias & Kügler, Agnes, 2018. "Cooperative pricing in spatially differentiated markets," Regional Science and Urban Economics, Elsevier, vol. 73(C), pages 51-67.
    65. Carsten J. Crede, 2015. "A structural break cartel screen for dating and detecting collusion," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2015-11, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    66. Johannes Wachs & J'anos Kert'esz, 2019. "A network approach to cartel detection in public auction markets," Papers 1906.08667, arXiv.org.
    67. Aineas Kostas Mallios, 2023. "Manipulation in reported dividends: Empirical evidence from US banks," Economics Bulletin, AccessEcon, vol. 43(1), pages 441-461.
    68. Hannes Wallimann & Silvio Sticher, 2023. "On suspicious tracks: machine-learning based approaches to detect cartels in railway-infrastructure procurement," Papers 2304.11888, arXiv.org.
    69. Valadkhani, Abbas & Babacan, Alperhan, 2014. "Modelling how much extra motorists pay on the road? A cross-sectional study of profit margins of unleaded petrol in Australia," Energy Policy, Elsevier, vol. 69(C), pages 179-188.
    70. Juan Jiménez & Jordi Perdiguero, 2012. "Does Rigidity of Prices Hide Collusion?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 41(3), pages 223-248, November.
    71. Granlund, David & Rudholm, Niklas, 2023. "Calculating the probability of collusion based on observed price patterns," Umeå Economic Studies 1014, Umeå University, Department of Economics, revised 13 Oct 2023.
    72. Bedri Kamil Onur Tas, 2017. "Collusion Detection in Public Procurement with Limited Information," Working Papers 1127, Economic Research Forum, revised 08 Oct 2017.
    73. Sylwester Bejger, 2009. "Econometric Tools for Detection of Collusion Equilibrium in the Industry," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 9, pages 27-38.
    74. Jeroen Hinloopen, 2004. "The Pro-collusive Effect of Increased Cartel Detection Probabilities," Tinbergen Institute Discussion Papers 04-117/1, Tinbergen Institute.
    75. Imhof, David & Karagök, Yavuz & Rutz, Samuel, 2016. "Screening for bid-rigging - does it work?," FSES Working Papers 468, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    76. Korbinian Blanckenburg & Alexander Geist, 2011. "Detecting illegal activities: the case of cartels," European Journal of Law and Economics, Springer, vol. 32(1), pages 15-33, August.
    77. Luke Froeb & James Cooper & Mark Frankena & Paul Pautler & Louis Silvia, 2005. "Economics at the FTC: Cases and Research, with a Focus on Petroleum," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 27(3), pages 223-252, November.
    78. Yangsoo Jin, 2014. "Testing Oil Refiners' Conduct in Korea: A Differentiated Product Approach," Asian Economic Journal, East Asian Economic Association, vol. 28(2), pages 161-180, June.
    79. Shastitko, Andrey E. & Golovanova, Svetlana V., 2014. "Collusion In Markets Characterized By One Large Buyer: Lessons Learned From An Antitrust Case In Russia," EconStor Research Reports 122048, ZBW - Leibniz Information Centre for Economics.
    80. Yilmazkuday, Hakan, 2017. "Asymmetric incidence of sales taxes: A short-run investigation of gasoline prices," Journal of Economics and Business, Elsevier, vol. 91(C), pages 16-23.
    81. Can Erutku & Vincent A. Hildebrand, 2010. "Conspiracy at the Pump," Journal of Law and Economics, University of Chicago Press, vol. 53(1), pages 223-237, February.
    82. Martin Huber & David Imhof & Rieko Ishii, 2022. "Transnational machine learning with screens for flagging bid‐rigging cartels," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(3), pages 1074-1114, July.
    83. Luís Cabral, 2005. "Collusion Theory: Where to Go Next?," Journal of Industry, Competition and Trade, Springer, vol. 5(3), pages 199-206, December.
    84. Stefania Grezzana, 2016. "Lost In Time And Space: The Deterrence Effect Of Cartel Busts On The Retail Gasoline Market," Anais do XLIII Encontro Nacional de Economia [Proceedings of the 43rd Brazilian Economics Meeting] 158, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    85. Hüschelrath, Kai & Veith, Tobias, 2011. "The impact of cartelization on pricing dynamics: Evidence from the German cement industry," ZEW Discussion Papers 11-067, ZEW - Leibniz Centre for European Economic Research.
    86. Ciliberto, Federico & Watkins, Eddie & Williams, Jonathan W., 2019. "Collusive pricing patterns in the US airline industry," International Journal of Industrial Organization, Elsevier, vol. 62(C), pages 136-157.
    87. Silveira, Douglas & de Moraes, Lucas B. & Fiuza, Eduardo P.S. & Cajueiro, Daniel O., 2023. "Who are you? Cartel detection using unlabeled data," International Journal of Industrial Organization, Elsevier, vol. 88(C).
    88. González, Xulia & Moral, María J., 2019. "Effects of antitrust prosecution on retail fuel prices," International Journal of Industrial Organization, Elsevier, vol. 67(C).

  16. John Geweke, 2004. "Getting It Right: Joint Distribution Tests of Posterior Simulators," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 799-804, January.

    Cited by:

    1. Geweke, John & Jiang, Yu, 2011. "Inference and prediction in a multiple-structural-break model," Journal of Econometrics, Elsevier, vol. 163(2), pages 172-185, August.
    2. van Dijk, Bram & Paap, Richard, 2008. "Explaining individual response using aggregated data," Journal of Econometrics, Elsevier, vol. 146(1), pages 1-9, September.
    3. David Ardia & Lennart F. Hoogerheide, 2010. "Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations," Tinbergen Institute Discussion Papers 10-045/4, Tinbergen Institute.
    4. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano, 2021. "Using time-varying volatility for identification in Vector Autoregressions: An application to endogenous uncertainty," Journal of Econometrics, Elsevier, vol. 225(1), pages 47-73.
    5. Munkin, Murat K. & Trivedi, Pravin K., 2008. "Bayesian analysis of the ordered probit model with endogenous selection," Journal of Econometrics, Elsevier, vol. 143(2), pages 334-348, April.
    6. Amisano, Gianni & Geweke, John, 2007. "Hierarchical Markov normal mixture models with applications to financial asset returns," Working Paper Series 831, European Central Bank.
    7. James Lesage & Olivier Parent, 2006. "Using the Variance Structure of the Conditional Autoregressive Spatial Specification to Model Knowledge Spillovers," Post-Print hal-00375311, HAL.
    8. Conley, Timothy G. & Hansen, Christian B. & McCulloch, Robert E. & Rossi, Peter E., 2008. "A semi-parametric Bayesian approach to the instrumental variable problem," Journal of Econometrics, Elsevier, vol. 144(1), pages 276-305, May.
    9. Maksym Obrizan, 2011. "A Bayesian Model of Sample Selection with a Discrete Outcome Variable: Detecting Depression in Older Adults," Discussion Papers 41, Kyiv School of Economics.
    10. Li, Mingliang & Tobias, Justin L., 2011. "Bayesian inference in a correlated random coefficients model: Modeling causal effect heterogeneity with an application to heterogeneous returns to schooling," Journal of Econometrics, Elsevier, vol. 162(2), pages 345-361, June.
    11. David Ardia & Lennart F. Hoogerheide, 2010. "Efficient Bayesian Estimation and Combination of GARCH-Type Models," Tinbergen Institute Discussion Papers 10-046/4, Tinbergen Institute.
    12. Wang, Joanna J.J. & Chan, Jennifer S.K. & Choy, S.T. Boris, 2011. "Stochastic volatility models with leverage and heavy-tailed distributions: A Bayesian approach using scale mixtures," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 852-862, January.
    13. Lucciano Villacorta, 2016. "Estimating Country Heterogeneity in Capital - Labor Substitution Using Panel Data," Working Papers Central Bank of Chile 788, Central Bank of Chile.
    14. Maksym, Obrizan, 2010. "A Bayesian Model of Sample Selection with a Discrete Outcome Variable," MPRA Paper 28577, University Library of Munich, Germany.
    15. Edward P. Herbst & Fabian Winkler, 2021. "The Factor Structure of Disagreement," Finance and Economics Discussion Series 2021-046, Board of Governors of the Federal Reserve System (U.S.).
    16. Kenneth L. Judd & Lilia Maliar & Serguei Maliar, 2017. "Lower Bounds on Approximation Errors to Numerical Solutions of Dynamic Economic Models," Econometrica, Econometric Society, vol. 85, pages 991-1012, May.
    17. Michael P. Keane & Olean Stavrunova, 2014. "Adverse Selection, Moral Hazard and the Demand for Medigap Insurance," Economics Papers 2014-W02, Economics Group, Nuffield College, University of Oxford.
    18. Necati Tekatli, 2007. "Generalized Factor Models: A Bayesian Approach," UFAE and IAE Working Papers 730.08, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    19. Karlsson, Sune, 2012. "Conditional posteriors for the reduced rank regression model," Working Papers 2012:11, Örebro University, School of Business.
    20. Deschamps, Philippe J., 2012. "Bayesian estimation of generalized hyperbolic skewed student GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3035-3054.
    21. Michael Keane & Olena Stavrunova, 2011. "A smooth mixture of Tobits model for healthcare expenditure," Health Economics, John Wiley & Sons, Ltd., vol. 20(9), pages 1126-1153, September.
    22. Munkin M & Trivedi P. K, 2009. "Incentives and Selection Effects of Drug Coverage on Total Drug Expenditure: a Finite Mixture Approach," Health, Econometrics and Data Group (HEDG) Working Papers 09/22, HEDG, c/o Department of Economics, University of York.
    23. Samuel Gingras & William J. McCausland, 2020. "A Flexible Stochastic Conditional Duration Model," Papers 2005.09166, arXiv.org.
    24. Norets, Andriy & Pelenis, Justinas, 2012. "Bayesian modeling of joint and conditional distributions," Journal of Econometrics, Elsevier, vol. 168(2), pages 332-346.
    25. Necati Tekatli, 2007. "Understanding Sources of the Change in International Business Cycles," Working Papers 335, Barcelona School of Economics.
    26. Necati Tekatli, 2010. "A Bayesian Generalized Factor Model with Comparative Analysis (Genellestirilmis Faktor Modellerinin Bayesyen Yaklasimi ve Karsilastirmali Analizi)," Working Papers 1018, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    27. Vincenzo Atella & Federico Belotti & Silvio Daidone & Giuseppe Ilardi & Giorgia Marini, 2012. "Cost-containment policies and hospital efficiency: evidence from a panel of Italian hospitals," CEIS Research Paper 228, Tor Vergata University, CEIS, revised 13 Apr 2012.
    28. McCausland, William J., 2012. "The HESSIAN method: Highly efficient simulation smoothing, in a nutshell," Journal of Econometrics, Elsevier, vol. 168(2), pages 189-206.
    29. Deschamps, Philippe J., 2006. "A flexible prior distribution for Markov switching autoregressions with Student-t errors," Journal of Econometrics, Elsevier, vol. 133(1), pages 153-190, July.
    30. Asai, Manabu, 2009. "Bayesian analysis of stochastic volatility models with mixture-of-normal distributions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2579-2596.
    31. Sam Schulhofer-Wohl & Andriy Norets, 2009. "Heterogeneity in income processes," 2009 Meeting Papers 999, Society for Economic Dynamics.
    32. Geweke, John, 2007. "Interpretation and inference in mixture models: Simple MCMC works," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3529-3550, April.
    33. Andriy Norets & Xun Tang, 2013. "Semi-Parametric Inference in Dynamic Binary Choice Models," PIER Working Paper Archive 13-054, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    34. Jian Ni & Kannan Srinivasan, 2015. "Matching in the Sourcing Market: A Structural Analysis of the Upstream Channel," Marketing Science, INFORMS, vol. 34(5), pages 722-738, September.
    35. McCausland, William & Miller, Shirley & Pelletier, Denis, 2021. "Multivariate stochastic volatility using the HESSIAN method," Econometrics and Statistics, Elsevier, vol. 17(C), pages 76-94.
    36. Marco Del Negro & Giorgio E. Primiceri, 2013. "Time-Varying Structural Vector Autoregressions and Monetary Policy: a Corrigendum," Staff Reports 619, Federal Reserve Bank of New York.
    37. Anoek Castelein & Dennis Fok & Richard Paap, 2020. "Heterogeneous variable selection in nonlinear panel data models: A semiparametric Bayesian approach," Tinbergen Institute Discussion Papers 20-061/III, Tinbergen Institute.
    38. Geweke, John, 2012. "Nonparametric Bayesian modelling of monotone preferences for discrete choice experiments," Journal of Econometrics, Elsevier, vol. 171(2), pages 185-204.

  17. John Geweke & Gautam Gowrisankaran & Robert J. Town, 2003. "Bayesian Inference for Hospital Quality in a Selection Model," Econometrica, Econometric Society, vol. 71(4), pages 1215-1238, July.
    See citations under working paper version above.
  18. Geweke, John & Martin, Donald L, 2002. "Pitfalls in Drawing Policy Conclusions from Retrospective Survey Data: The Case of Advertising and Underage Smoking," Journal of Risk and Uncertainty, Springer, vol. 25(2), pages 111-131, September.

    Cited by:

    1. Jon P. Nelson, 2008. "Reply To Siegel Et Al.: Alcohol Advertising In Magazines And Disproportionate Exposure," Contemporary Economic Policy, Western Economic Association International, vol. 26(3), pages 493-504, July.
    2. Jon P. Nelson, 2010. "What is Learned from Longitudinal Studies of Advertising and Youth Drinking and Smoking? A Critical Assessment," IJERPH, MDPI, vol. 7(3), pages 1-57, March.

  19. Geweke, John, 2001. "Bayesian econometrics and forecasting," Journal of Econometrics, Elsevier, vol. 100(1), pages 11-15, January.

    Cited by:

    1. Li, Li & Kang, Yanfei & Li, Feng, 2023. "Bayesian forecast combination using time-varying features," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1287-1302.
    2. Michal Franta & Jozef Barunik & Roman Horvath & Katerina Smidkova, 2011. "Are Bayesian Fan Charts Useful for Central Banks? Uncertainty, Forecasting, and Financial Stability Stress Tests," Working Papers 2011/10, Czech National Bank.
    3. Robert Kollmann, 2013. "Global Banks, Financial Shocks, and International Business Cycles: Evidence from an Estimated Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(s2), pages 159-195, December.
    4. Markku Lanne & Jani Luoto, 2017. "A New Time‐Varying Parameter Autoregressive Model for U.S. Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 49(5), pages 969-995, August.
    5. Antonio Pacifico, 2018. "Panel Bayesian VAR Modeling for Policy and Forecasting when dealing with confounding and latent effects," EERI Research Paper Series EERI RP 2018/15, Economics and Econometrics Research Institute (EERI), Brussels.
    6. Marco Del Negro & Frank Schorfheide, 2008. "Forming Priors for DSGE Models (and How it Affects the Assessment of Nominal Rigidities)," NBER Working Papers 13741, National Bureau of Economic Research, Inc.
    7. Roberto Leon-Gonzalez & Fuyu Yang, 2017. "Bayesian inference and forecasting in the stationary bilinear model," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(20), pages 10327-10347, October.
    8. Jesús Crespo Cuaresma & Martin Feldkircher & Florian Huber, 2016. "Forecasting with Global Vector Autoregressive Models: a Bayesian Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1371-1391, November.
    9. Francesco Giancaterini & Alain Hecq & Claudio Morana, 2022. "Is climate change time reversible?," Papers 2205.07579, arXiv.org, revised Nov 2022.
    10. Scott Brave & R. Andrew Butters & Alejandro Justiniano, 2016. "Forecasting Economic Activity with Mixed Frequency Bayesian VARs," Working Paper Series WP-2016-5, Federal Reserve Bank of Chicago.
    11. John Geweke & Gianni Amisano, 2008. "Optimal Prediction Pools," Working Paper series 22_08, Rimini Centre for Economic Analysis.
    12. Brave, Scott A. & Butters, R. Andrew & Justiniano, Alejandro, 2019. "Forecasting economic activity with mixed frequency BVARs," International Journal of Forecasting, Elsevier, vol. 35(4), pages 1692-1707.
    13. Giannone, Domenico & Lenza, Michele & Primiceri, Giorgio E., 2012. "Prior selection for vector autoregressions," Working Paper Series 1494, European Central Bank.
    14. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    15. Li, Feng & Kang, Yanfei, 2018. "Improving forecasting performance using covariate-dependent copula models," International Journal of Forecasting, Elsevier, vol. 34(3), pages 456-476.
    16. Amisano, Gianni & Geweke, John, 2008. "Comparing and evaluating Bayesian predictive distributions of assets returns," Working Paper Series 969, European Central Bank.
    17. Markku Lanne & Jani Luoto, 2014. "Noncausal Bayesian Vector Autoregression," CREATES Research Papers 2014-07, Department of Economics and Business Economics, Aarhus University.
    18. Michal Franta, 2013. "The Effect of Non-Linearity Between Credit Conditions and Economic Activity on Density Forecasts," Working Papers 2013/09, Czech National Bank.
    19. Mark J Jensen & John M Maheu, 2012. "Estimating a Semiparametric Asymmetric Stochastic Volatility Model with a Dirichlet Process Mixture," Working Papers tecipa-453, University of Toronto, Department of Economics.
    20. Corradi, Valentina & Swanson, Norman R. & Olivetti, Claudia, 2001. "Predictive ability with cointegrated variables," Journal of Econometrics, Elsevier, vol. 104(2), pages 315-358, September.
    21. Clark, Todd E. & McCracken, Michael W., 2005. "The power of tests of predictive ability in the presence of structural breaks," Journal of Econometrics, Elsevier, vol. 124(1), pages 1-31, January.
    22. David J. Vanness & W. Ray Kim, 2002. "Bayesian estimation, simulation and uncertainty analysis: the cost‐effectiveness of ganciclovir prophylaxis in liver transplantation," Health Economics, John Wiley & Sons, Ltd., vol. 11(6), pages 551-566, September.
    23. Cross, Jamie L. & Hou, Chenghan & Poon, Aubrey, 2020. "Macroeconomic forecasting with large Bayesian VARs: Global-local priors and the illusion of sparsity," International Journal of Forecasting, Elsevier, vol. 36(3), pages 899-915.

  20. Geweke, John & Tanizaki, Hisashi, 2001. "Bayesian estimation of state-space models using the Metropolis-Hastings algorithm within Gibbs sampling," Computational Statistics & Data Analysis, Elsevier, vol. 37(2), pages 151-170, August.

    Cited by:

    1. Linnea Polgreen & Pedro Silos, 2005. "Capital-skill complementarity and inequality: a sensitivity analysis," FRB Atlanta Working Paper 2005-20, Federal Reserve Bank of Atlanta.
    2. Fatemeh Hassanzadeh, 2021. "A smoothing spline model for multimodal and skewed circular responses: Applications in meteorology and oceanography," Environmetrics, John Wiley & Sons, Ltd., vol. 32(2), March.
    3. Fernando Linardi & Cees Diks & Marco van der Leij & Iuri Lazier, 2018. "Dynamic Interbank Network Analysis Using Latent Space Models," Working Papers Series 487, Central Bank of Brazil, Research Department.
    4. Christian Hotz-Behofsits & Florian Huber & Thomas O. Zorner, 2018. "Predicting crypto-currencies using sparse non-Gaussian state space models," Papers 1801.06373, arXiv.org, revised Feb 2018.
    5. Wang, Guiming, 2007. "On the latent state estimation of nonlinear population dynamics using Bayesian and non-Bayesian state-space models," Ecological Modelling, Elsevier, vol. 200(3), pages 521-528.
    6. Fabio Canova & Fernando J. Pérez Forero, 2012. "Estimating Overidentified, Nonrecursive Time-Varying Coefficients Structural VARs," Working Papers 637, Barcelona School of Economics.
    7. Xiaochun Liu, 2016. "Markov switching quantile autoregression," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 70(4), pages 356-395, November.
    8. Liu Xiangdong & Li Xianglong & Zheng Shaozhi & Qian Hangyong, 2020. "PMCMC for Term Structure of Interest Rates under Markov Regime Switching and Jumps," Journal of Systems Science and Information, De Gruyter, vol. 8(2), pages 159-169, April.
    9. Veyssiere, Luc Pierre, 2009. "A three essays dissertation on agricultural and environmental microeconomics," ISU General Staff Papers 200901010800001958, Iowa State University, Department of Economics.
    10. Delle Monache, Davide & Petrella, Ivan, 2019. "Efficient Matrix Approach for Classical Inference in State Space Models," EMF Research Papers 19, Economic Modelling and Forecasting Group.
    11. Almeida, Carlos & Czado, Claudia, 2012. "Efficient Bayesian inference for stochastic time-varying copula models," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1511-1527.
    12. Helio Migon & Alexandra Schmidt & Romy Ravines & João Pereira, 2013. "An efficient sampling scheme for dynamic generalized models," Computational Statistics, Springer, vol. 28(5), pages 2267-2293, October.
    13. Na Xia & Qinan Zhi & Menghua He & Yunqing Hong & Huazheng Du, 2020. "A navigation satellite selection algorithm for optimized positioning based on Gibbs sampler," International Journal of Distributed Sensor Networks, , vol. 16(6), pages 15501477209, June.
    14. Gonzalez-Astudillo, Manuel, 2013. "Monetary-Fiscal Policy Interactions: Interdependent Policy Rule Coefficients," MPRA Paper 50040, University Library of Munich, Germany.
    15. Mengheng Li & Marcel Scharth, 2022. "Leverage, Asymmetry, and Heavy Tails in the High-Dimensional Factor Stochastic Volatility Model," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 285-301, January.
    16. Moon Jung Choi & Geun-Young Kim & Joo Yong Lee, 2015. "An Analysis of Trade Patterns in East Asia and the Effects of the Real Exchange Rate Movements," Working Papers 2015-29, Economic Research Institute, Bank of Korea.
    17. Sy-Miin Chow & Zhaohua Lu & Andrew Sherwood & Hongtu Zhu, 2016. "Fitting Nonlinear Ordinary Differential Equation Models with Random Effects and Unknown Initial Conditions Using the Stochastic Approximation Expectation–Maximization (SAEM) Algorithm," Psychometrika, Springer;The Psychometric Society, vol. 81(1), pages 102-134, March.
    18. Su, Zhenming & Peterman, Randall M., 2012. "Performance of a Bayesian state-space model of semelparous species for stock-recruitment data subject to measurement error," Ecological Modelling, Elsevier, vol. 224(1), pages 76-89.
    19. Koenker, Roger & Yoon, Jungmo, 2009. "Parametric links for binary choice models: A Fisherian-Bayesian colloquy," Journal of Econometrics, Elsevier, vol. 152(2), pages 120-130, October.
    20. Gao, Rui & Li, Yaqiong & Lin, Lisha, 2019. "Bayesian statistical inference for European options with stock liquidity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 518(C), pages 312-322.
    21. Hasegawa, Takanori & Niida, Atsushi & Mori, Tomoya & Shimamura, Teppei & Yamaguchi, Rui & Miyano, Satoru & Akutsu, Tatsuya & Imoto, Seiya, 2016. "A likelihood-free filtering method via approximate Bayesian computation in evaluating biological simulation models," Computational Statistics & Data Analysis, Elsevier, vol. 94(C), pages 63-74.

  21. John Geweke & William McCausland, 2001. "Bayesian Specification Analysis in Econometrics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(5), pages 1181-1186.

    Cited by:

    1. Patrizia Ordine & Claudio Lupi, 2009. "Family Income and Students' Mobility," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 68(1), pages 1-23, April.
    2. Cainelli, Giulio & Lupi, Claudio, 2008. "Does Spatial Proximity Matter? Micro-evidence from Italy," Economics & Statistics Discussion Papers esdp08042, University of Molise, Department of Economics.
    3. von Haefen, Roger H. & Phaneuf, Daniel J., 2003. "Estimating preferences for outdoor recreation:: a comparison of continuous and count data demand system frameworks," Journal of Environmental Economics and Management, Elsevier, vol. 45(3), pages 612-630, May.

  22. Geweke, John, 2001. "A note on some limitations of CRRA utility," Economics Letters, Elsevier, vol. 71(3), pages 341-345, June.

    Cited by:

    1. Hirbod Assa & Alexander Zimper, 2017. "Preferences Over all Random Variables: Incompatibility of Convexity and Continuity," Working Papers 201714, University of Pretoria, Department of Economics.
    2. Radu Tunaru, 2015. "Model Risk in Financial Markets:From Financial Engineering to Risk Management," World Scientific Books, World Scientific Publishing Co. Pte. Ltd., number 9524.
    3. Pesaran, M.H. & Pettenuzzo, D. & Timmermann, A., 2006. "Learning, Structural Instability and Present Value Calculations," Cambridge Working Papers in Economics 0602, Faculty of Economics, University of Cambridge.
    4. Aurland-Bredesen , Kine Josefine, 2017. "Averting catastrophes in a more complex world," Working Paper Series 06-2017, Norwegian University of Life Sciences, School of Economics and Business.
    5. David Anthoff & Richard S. J. Tol, 2021. "Testing the Dismal Theorem," CESifo Working Paper Series 8939, CESifo.
    6. Toda, Alexis Akira & Walsh, Kieran James, 2017. "Fat tails and spurious estimation of consumption-based asset pricing models," University of California at San Diego, Economics Working Paper Series qt8df3x7gw, Department of Economics, UC San Diego.
    7. Strand, Jon & Miller, Sebastian & Siddiqui, Sauleh, 2011. "Infrastructure investments under uncertainty with the possibility of retrofit : theory and simulations," Policy Research Working Paper Series 5516, The World Bank.
    8. Timmermann, Allan & Pettenuzzo, Davide & Gargano, Antonio, 2014. "Bond Return Predictability: Economic Value and Links to the Macroeconomy," CEPR Discussion Papers 10104, C.E.P.R. Discussion Papers.
    9. Michael Johannes & Lars Lochstoer & Pierre Collin-Dufresne, 2015. "Parameter Learning in General Equilibrium: The Asset Pricing Implications," 2015 Meeting Papers 647, Society for Economic Dynamics.
    10. Klaus Adam & Albert Marcet, 2011. "Internal Rationality, Imperfect Market Knowledge and Asset Prices," CEP Discussion Papers dp1068, Centre for Economic Performance, LSE.
    11. Millner, Antony, 2013. "On welfare frameworks and catastrophic climate risks," Journal of Environmental Economics and Management, Elsevier, vol. 65(2), pages 310-325.
    12. Lars Peter Hansen, 2007. "Beliefs, Doubts and Learning: Valuing Economic Risk," NBER Working Papers 12948, National Bureau of Economic Research, Inc.
    13. Kazem Falahati, 2021. "The Standard Model of Rational Risky Decision-Making," JRFM, MDPI, vol. 14(4), pages 1-24, April.
    14. Yoon, Gawon, 2004. "On the existence of expected utility with CRRA under STUR," Economics Letters, Elsevier, vol. 83(2), pages 219-224, May.
    15. Emmerling, Johannes, 2015. "Uncertainty and Natural Resources - Prudence Facing Doomsday," Climate Change and Sustainable Development 205459, Fondazione Eni Enrico Mattei (FEEM).
    16. Shamsi Zamenjani, Azam, 2021. "Do financial variables help predict the conditional distribution of the market portfolio?," Journal of Empirical Finance, Elsevier, vol. 62(C), pages 327-345.
    17. Richard M. H. Suen, 2009. "Bounding the CRRA Utility Functions," Working Papers 200902, University of California at Riverside, Department of Economics, revised Feb 2009.
    18. Seong-Hoon Kim, 2012. "Sequential Action and Beliefs Under Partially Observable DSGE Environments," Computational Economics, Springer;Society for Computational Economics, vol. 40(3), pages 219-244, October.
    19. M. Mercè Claramunt & Maite Mármol & Xavier Varea, 2023. "Facing a Risk: To Insure or Not to Insure—An Analysis with the Constant Relative Risk Aversion Utility Function," Mathematics, MDPI, vol. 11(5), pages 1-13, February.
    20. Ivan Shaliastovich & George Tauchen, 2010. "Pricing of the Time-Change Risks," Working Papers 10-10, Duke University, Department of Economics.
    21. Chen, Yu & Cosimano, Thomas F. & Himonas, Alex A., 2008. "Analytic solving of asset pricing models: The by force of habit case," Journal of Economic Dynamics and Control, Elsevier, vol. 32(11), pages 3631-3660, November.
    22. Antony Millner, 2013. "On Welfare Frameworks and Catastrophic Climate Risks," CESifo Working Paper Series 4442, CESifo.
    23. Ammann, Manuel & Coqueret, Guillaume & Schade, Jan-Philip, 2016. "Characteristics-based portfolio choice with leverage constraints," Journal of Banking & Finance, Elsevier, vol. 70(C), pages 23-37.
    24. T M Niguez & I Paya & D Peel & J Perote, 2011. "On the stability of the CRRA utility under high degrees of uncertainty," Working Papers 615773, Lancaster University Management School, Economics Department.
    25. Ikefuji, Masako & Laeven, Roger J.A. & Magnus, Jan R. & Muris, Chris, 2015. "Expected utility and catastrophic consumption risk," Insurance: Mathematics and Economics, Elsevier, vol. 64(C), pages 306-312.
    26. Kyung Hwan Baik & Subhasish M. Chowdhury & Abhijit Ramalingam, 2020. "The effects of conflict budget on the intensity of conflict: an experimental investigation," Experimental Economics, Springer;Economic Science Association, vol. 23(1), pages 240-258, March.
    27. Bidarkota, Prasad V. & Dupoyet, Brice V., 2007. "The impact of fat tails on equilibrium rates of return and term premia," Journal of Economic Dynamics and Control, Elsevier, vol. 31(3), pages 887-905, March.
    28. Jean-Louis ARCAND, 2013. "L’(absence d’) impact de l’impact : pourquoi les évaluations d’impact conduisent rarement à une prise de décision politique fondée sur les faits," Working Papers P73, FERDI.
    29. Bakshi, Gurdip & Skoulakis, Georgios, 2010. "Do subjective expectations explain asset pricing puzzles?," Journal of Financial Economics, Elsevier, vol. 98(3), pages 462-477, December.
    30. Timothy Cogley & Boyan Jovanovic, 2020. "Structural Breaks in an Endogenous Growth Model," NBER Working Papers 28026, National Bureau of Economic Research, Inc.
    31. Parantap Basu & Elie Appelbaum, 2004. "A New Methodology For Studying The Equity Premium," Royal Economic Society Annual Conference 2004 72, Royal Economic Society.
    32. Bidarkota, Prasad V. & Dupoyet, Brice V. & McCulloch, J. Huston, 2009. "Asset pricing with incomplete information and fat tails," Journal of Economic Dynamics and Control, Elsevier, vol. 33(6), pages 1314-1331, June.
    33. Jean-Louis Arcand, 2014. "The (Lack of) Impact of Impact: Why Impact Evaluations Seldom Lead to Evidence-based Policymaking," Revue d’économie du développement, De Boeck Université, vol. 22(HS01), pages 289-311.
    34. Yu Chen & Thomas Cosimano & Alex Himonas, 2010. "Continuous time one-dimensional asset-pricing models with analytic price–dividend functions," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 42(3), pages 461-503, March.
    35. Pettenuzzo, Davide & Timmermann, Allan, 2011. "Predictability of stock returns and asset allocation under structural breaks," Journal of Econometrics, Elsevier, vol. 164(1), pages 60-78, September.
    36. Kine Josefine Aurland-Bredesen, 2020. "The Benefit-Cost Ratio as a Decision Criteria When Managing Catastrophes," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(2), pages 345-363, October.
    37. Doron Avramov & Guofu Zhou, 2010. "Bayesian Portfolio Analysis," Annual Review of Financial Economics, Annual Reviews, vol. 2(1), pages 25-47, December.
    38. Nestor Gandelman & Ruben Hernandez-Murillo, 2014. "Risk Aversion at the Country Level," Working Papers 2014-5, Federal Reserve Bank of St. Louis.
    39. Penaranda, Francisco, 2007. "Portfolio choice beyond the traditional approach," LSE Research Online Documents on Economics 24481, London School of Economics and Political Science, LSE Library.
    40. Masako Ikefuji & Roger J. A. Laeven & Jan R. Magnus & Chris Muris, 2011. "Weitzman meets Nordhaus: Expected utility and catastrophic risk in a stochastic economy-climate model," ISER Discussion Paper 0825, Institute of Social and Economic Research, Osaka University.
    41. Ikefuji, Masako & Laeven, Roger J.A. & Magnus, Jan R. & Muris, Chris, 2020. "Expected utility and catastrophic risk in a stochastic economy–climate model," Journal of Econometrics, Elsevier, vol. 214(1), pages 110-129.
    42. Martin Weitzman, 2007. "Structural Uncertainty and the Value of Statistical Life in the Economics of Catastrophic Climate Change," NBER Working Papers 13490, National Bureau of Economic Research, Inc.
    43. Cogley, Timothy & Sargent, Thomas J., 2008. "The market price of risk and the equity premium: A legacy of the Great Depression?," Journal of Monetary Economics, Elsevier, vol. 55(3), pages 454-476, April.
    44. Donatella Baiardi & Mario Menegatti, 2011. "Pigouvian tax, abatement policies and uncertainty on the environment," Journal of Economics, Springer, vol. 103(3), pages 221-251, July.
    45. Kelly, David L. & Tan, Zhuo, 2015. "Learning and climate feedbacks: Optimal climate insurance and fat tails," Journal of Environmental Economics and Management, Elsevier, vol. 72(C), pages 98-122.
    46. Cogley, Timothy, 2009. "Is the market price of risk infinite?," Economics Letters, Elsevier, vol. 102(1), pages 13-16, January.
    47. Gurdip Bakshi, 2009. "Du subjectiv expectations explain asset pricing puzzles?," 2009 Meeting Papers 1234, Society for Economic Dynamics.
    48. Zhu, Shushang & Zhu, Wei & Pei, Xi & Cui, Xueting, 2020. "Hedging crash risk in optimal portfolio selection," Journal of Banking & Finance, Elsevier, vol. 119(C).
    49. Pierre Collin-Dufresne & Michael Johannes & Lars A. Lochstoer, 2013. "Parameter Learning in General Equilibrium: The Asset Pricing Implications," NBER Working Papers 19705, National Bureau of Economic Research, Inc.
    50. Dominique Pepin, 2016. "The subjective discount factor and the coefficient of relative risk aversion under time-additive isoelastic expected utility model," Post-Print hal-01299834, HAL.
    51. Aurland-Bredesen, Kine Josefine, 2021. "The welfare costs of uncertainty: Cross-country evidence," World Development, Elsevier, vol. 146(C).
    52. Kame Babilla, Thierry, 2014. "Food Price Volatility implications for Trade and Monetary Policy between Nigeria and CEMAC: a Bayesian DSGE model approach," Conference papers 332525, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    53. Tol, Richard S. J. & Anthoff, David, 2010. "Climate Policy under Fat-Tailed Risk: An Application of FUND," Papers WP348, Economic and Social Research Institute (ESRI).
    54. Cenesizoglu, Tolga & Timmermann, Allan, 2012. "Do return prediction models add economic value?," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 2974-2987.
    55. Ross McKitrick, 2013. "State-contingent pricing as a response to uncertainty in climate policy," Chapters, in: Roger Fouquet (ed.), Handbook on Energy and Climate Change, chapter 18, pages 415-433, Edward Elgar Publishing.
    56. Hassler, J. & Krusell, P. & Smith, A.A., 2016. "Environmental Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1893-2008, Elsevier.
    57. de la Torre, Augusto & Ize, Alain, 2009. "Regulatory reform : integrating paradigms," Policy Research Working Paper Series 4842, The World Bank.
    58. Tsionas, Efthymios G., 2003. "Exact solution of asset pricing models with arbitrary shock distributions," Journal of Economic Dynamics and Control, Elsevier, vol. 27(5), pages 843-851, March.
    59. Dietz, Simon, 2009. "High impact, low probability? An empirical analysis of risk in the economics of climate change," LSE Research Online Documents on Economics 37612, London School of Economics and Political Science, LSE Library.
    60. Pierre Collin-Dufresne & Michael Johannes & Lars A. Lochstoer, 2016. "Parameter Learning in General Equilibrium: The Asset Pricing Implications," American Economic Review, American Economic Association, vol. 106(3), pages 664-698, March.
    61. Masako Ikefuji & Roger Laeven & Jan Magnus & Chris Muris, 2014. "Expected Utility and Catastrophic Risk," Tinbergen Institute Discussion Papers 14-133/III, Tinbergen Institute.
    62. Bianchi, Daniele & Guidolin, Massimo, 2014. "Can long-run dynamic optimal strategies outperform fixed-mix portfolios? Evidence from multiple data sets," European Journal of Operational Research, Elsevier, vol. 236(1), pages 160-176.
    63. Simon Dietz, 2009. "High impact, low probability? An empirical analysis of risk in the economics of climate change," GRI Working Papers 9, Grantham Research Institute on Climate Change and the Environment.
    64. Marcet, Albert & Adam, Klaus, 2009. "Internal Rationality and Asset Prices," CEPR Discussion Papers 7498, C.E.P.R. Discussion Papers.
    65. Yiqun Mou & Lars A. Lochstoer & Michael Johannes, 2011. "Learning about Consumption Dynamics," 2011 Meeting Papers 306, Society for Economic Dynamics.
    66. Ñíguez, Trino-Manuel & Paya, Ivan & Peel, David & Perote, Javier, 2012. "On the stability of the constant relative risk aversion (CRRA) utility under high degrees of uncertainty," Economics Letters, Elsevier, vol. 115(2), pages 244-248.

  23. John Geweke & John Rust & Herman K. Van Dijk, 2000. "Introduction: inference and decision making," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 545-546.

    Cited by:

    1. Erling Røed Larsen, 2002. "The Political Economy of Global Warming. From Data to Decisions," Discussion Papers 322, Statistics Norway, Research Department.
    2. Ooms, M., 2008. "Trends in Applied Econometrics Software Development 1985-2008, an analysis of Journal of Applied Econometrics research articles, software reviews, data and code," Serie Research Memoranda 0021, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

  24. Geweke, John & Keane, Michael, 2000. "An empirical analysis of earnings dynamics among men in the PSID: 1968-1989," Journal of Econometrics, Elsevier, vol. 96(2), pages 293-356, June.

    Cited by:

    1. Heshmati, Almas, 2004. "A Review of Decomposition of Income Inequality," IZA Discussion Papers 1221, Institute of Labor Economics (IZA).
    2. Heshmati, Almas, 2004. "Continental and Sub-Continental Income Inequality," IZA Discussion Papers 1271, Institute of Labor Economics (IZA).
    3. Joseph Altonji, 2012. "Modeling Earnings Dynamics," 2012 Meeting Papers 1180, Society for Economic Dynamics.
    4. Stéphane Bonhomme & Koen Jochmans & Jean-Marc Robin, 2017. "Nonparametric estimation of non-exchangeable latent-variable models," SciencePo Working papers Main hal-03264006, HAL.
    5. Michael Keane, 2011. "Income Taxation in a Life Cycle Model with Human Capital," Working Papers 201117, ARC Centre of Excellence in Population Ageing Research (CEPAR), Australian School of Business, University of New South Wales.
    6. Moshe Buchinsky & Denis Fougère & Francis Kramarz & Rusty Tchernis, 2008. "Interfirm Mobility, Wages, and the Returns to Seniority and Experience in the U.S," CAEPR Working Papers 2008-006, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    7. Benjamin Friedrich & Costas Meghir & Lisa Laun & Luigi Pistaferri, 2018. "Earnings Dynamics and Firm-Level Shocks," 2018 Meeting Papers 536, Society for Economic Dynamics.
    8. Arellano, Manuel & Blundell, Richard & Bonhomme, Stephane, 2015. "Earnings and Consumption Dynamics: A Nonlinear Panel Data Framework," IZA Discussion Papers 9344, Institute of Labor Economics (IZA).
    9. J. Carter Braxton & Kyle F. Herkenhoff & Jonathan L. Rothbaum & Lawrence Schmidt, 2021. "Changing Income Risk across the US Skill Distribution: Evidence from a Generalized Kalman Filter," NBER Working Papers 29567, National Bureau of Economic Research, Inc.
    10. Mariacristina De Nardi & Giulio Fella & Gonzalo Paz Pardo, 2016. "The Implications of Richer Earnings Dynamics for Consumption and Wealth," NBER Working Papers 21917, National Bureau of Economic Research, Inc.
    11. Pora, Pierre & Wilner, Lionel, 2020. "A decomposition of labor earnings growth: Recovering Gaussianity?," Labour Economics, Elsevier, vol. 63(C).
    12. Audra Bowlus & Jean-Marc Robin, 2008. "An international comparison of lifetime labor income values and inequality: a bounds approach," Sciences Po publications info:hdl:2441/dc0ckec3fcb, Sciences Po.
    13. Hospido, Laura, 2015. "Wage dynamics in the presence of unobserved individual and job heterogeneity," Labour Economics, Elsevier, vol. 33(C), pages 81-93.
    14. Magnac, Thierry & Pistolesi, Nicolas & Roux, Sébastien, 2013. "Post Schooling Human Capital Investments and the Life Cycle Variance of Earnings," IZA Discussion Papers 7407, Institute of Labor Economics (IZA).
    15. Geweke, John & Keane, Michael, 2005. "Bayesian Cross-Sectional Analysis of the Conditional Distribution of Earnings of Men in the United States, 1967-1996: Appendices," MPRA Paper 54286, University Library of Munich, Germany.
    16. Heshmati, Almas, 2004. "Data Issues and Databases Used in Analysis of Growth, Poverty and Economic Inequality," IZA Discussion Papers 1263, Institute of Labor Economics (IZA).
    17. Tom Krebs & Moritz Kuhn & Mark L. J. Wright, 2011. "Human Capital Risk, Contract Enforcement, and the Macroeconomy," NBER Working Papers 17714, National Bureau of Economic Research, Inc.
    18. Joseph G. Altonji & Disa M. Hynsjö & Ivan Vidangos, 2022. "Individual Earnings and Family Income: Dynamics and Distribution," NBER Working Papers 30095, National Bureau of Economic Research, Inc.
    19. Angel de la Fuente, 2003. "Human capital in a global and knowledge-based economy," UFAE and IAE Working Papers 576.03, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).
    20. Hendricks, Lutz & Schoellman, Todd, 2009. "Student Abilities During the Expansion of U.S. Education, 1950-2000," MPRA Paper 12798, University Library of Munich, Germany.
    21. Michael Keane, 2010. "Labor Supply and Taxes: A Survey," Working Paper Series 160, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    22. Sid Kankanala, 2023. "Quasi-Bayes in Latent Variable Models," Papers 2311.06831, arXiv.org.
    23. Keane, Michael P. & Roemer, John E., 2009. "Assessing policies to equalize opportunity using an equilibrium model of educational and occupational choices," Journal of Public Economics, Elsevier, vol. 93(7-8), pages 879-898, August.
    24. Krebs, Tom & Wilson, Bonnie, 2004. "Asset returns in an endogenous growth model with incomplete markets," Journal of Economic Dynamics and Control, Elsevier, vol. 28(4), pages 817-839, January.
    25. Joachim Hubmer, 2018. "The Job Ladder and its Implications for Earnings Risk," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 29, pages 172-194, July.
    26. Mikhail Golosov & Aleh Tsyvinski & Nicolas Werquin, 2016. "Recursive Contracts and Endogenously Incomplete Markets," NBER Working Papers 22012, National Bureau of Economic Research, Inc.
    27. Manuel Arellano & Stéphane Bonhomme & Micole De Vera & Laura Hospido & Siqi Wei, 2021. "Income Risk Inequality: Evidence from Spanish Administrative Records," Working Papers 2136, Banco de España.
    28. Ivan Lagrosa, 2022. "Income dynamics in dual labor markets," Working Papers wp2022_2209, CEMFI.
    29. Yuichi Kitamura, 2006. "Empirical Likelihood Methods in Econometrics: Theory and Practice," CIRJE F-Series CIRJE-F-430, CIRJE, Faculty of Economics, University of Tokyo.
    30. Fatih Guvenen & Fatih Karahan & Serdar Ozkan & Jae Song, 2015. "What Do Data on Millions of U.S. Workers Reveal about Life-Cycle Earnings Risk?," Working Papers 719, Federal Reserve Bank of Minneapolis.
    31. Fatih Guvenen & Fatih Karahan & Serdar Ozkan & Jae Song, 2021. "What Do Data on Millions of U.S. Workers Reveal About Lifecycle Earnings Dynamics?," Econometrica, Econometric Society, vol. 89(5), pages 2303-2339, September.
    32. Mahuteau, Stephane & Mavromaras, Kostas, 2013. "An Analysis of the Impact of Socioeconomic Disadvantage and School Quality on the Probability of School Dropout," IZA Discussion Papers 7566, Institute of Labor Economics (IZA).
    33. Brant Abbott & Giovanni Gallipoli, 2019. "Permanent-Income Inequality," Working Papers 2019-011, Human Capital and Economic Opportunity Working Group.
    34. Manuel Arellano & Stéphane Bonhomme, 2019. "Recovering Latent Variables by Matching," Working Papers wp2019_1914, CEMFI.
    35. Taisuke Nakata & Christopher Tonetti, 2015. "Small Sample Properties of Bayesian Estimators of Labor Income Processes," Journal of Applied Economics, Taylor & Francis Journals, vol. 18(1), pages 121-148, May.
    36. Chang Sheng-Kai, 2011. "A Computationally Practical Robust Simulation Estimator for Dynamic Panel Tobit Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(4), pages 1-21, September.
    37. Fedor Iskhakov & Michael Keane, 2018. "Effects of Taxes and Safety Net Pensions on life-cycle Labor Supply, Savings and Human Capital: the Case of Australia," Discussion Papers 2018-09, School of Economics, The University of New South Wales.
    38. Silvia Sarpietro & Yuya Sasaki & Yulong Wang, 2022. "Non-Existent Moments of Earnings Growth," Papers 2203.08014, arXiv.org, revised Feb 2024.
    39. Audra J. Bowlus & Jean-Marc Robin, 2011. "An International Comparison of Lifetime Inequality: How Continental Europe Resembles North America," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20116, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    40. Mariacristina De Nardi & Giulio Fella & Gonzalo Paz Pardo, 2018. "Nonlinear Household Earnings Dynamics, Self-insurance, and Welfare," NBER Working Papers 24326, National Bureau of Economic Research, Inc.
    41. Ivan Vidangos, 2009. "Household welfare, precautionary saving, and social insurance under multiple sources of risk," Finance and Economics Discussion Series 2009-14, Board of Governors of the Federal Reserve System (U.S.).
    42. Meghir, Costas & Pistaferri, Luigi, 2011. "Earnings, Consumption and Life Cycle Choices," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 9, pages 773-854, Elsevier.
    43. Crawford, Ron, 2009. "Variations in earnings growth: evidence from earnings transitions in the NZ Linked Income Survey," ISER Working Paper Series 2009-18, Institute for Social and Economic Research.
    44. Fang Yang & Xuan Liu & Zongwu Cai, 2013. "Does Relative Risk Aversion Vary with Wealth? Evidence from Households' Portfolio Choice Data," Departmental Working Papers 2013-09, Department of Economics, Louisiana State University.
    45. Sanchez, Manuel & Wellschmied, Felix, 2017. "Modeling Life-Cycle Earnings Risk with Positive and Negative Shocks," IZA Discussion Papers 10925, Institute of Labor Economics (IZA).
    46. Mariacristina De Nardi & Giulio Fella, 2017. "Saving and Wealth Inequality," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 26, pages 280-300, October.
    47. Malcolm Keswell, 2004. "Non‐Linear Earnings Dynamics In Post‐Apartheid South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 72(5), pages 913-939, December.
    48. Costanza Naguib & Patrick Gagliardini, 2023. "A Semi-nonparametric Copula Model for Earnings Mobility," Diskussionsschriften dp2302, Universitaet Bern, Departement Volkswirtschaft.
    49. Stéphane Bonhomme & Jean-Marc Robin, 2010. "Generalized Non-Parametric Deconvolution with an Application to Earnings Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 77(2), pages 491-533.
    50. Ivan Vidangos, 2009. "Fluctuations in individual labor income: a panel VAR analysis," Finance and Economics Discussion Series 2009-09, Board of Governors of the Federal Reserve System (U.S.).
    51. Hans Bækgaard, 2013. "A Bayesian approach to labour market modelling in dynamic microsimulation," DREAM Working Paper Series 201301, Danish Rational Economic Agents Model, DREAM.
    52. Robert Moffitt & Peter Gottschalk, 2011. "Trends in the Transitory Variance of Male Earnings in the U.S., 1970-2004," Economics Working Paper Archive 578, The Johns Hopkins University,Department of Economics.
    53. Ghosh, Anisha & Theloudis, Alexandros, 2023. "Consumption Partial Insurance in the Presence of Tail Income Risk," Discussion Paper 2023-024, Tilburg University, Center for Economic Research.
    54. Audra Bowlus & Jean-Marc Robin, 2008. "An international comparison of lifetime labor income values and inequality," Working Papers hal-03459796, HAL.
    55. Manuel Sanchez & Felix Wellschmied, 2019. "Online Appendix to "Modeling Life-Cycle Earnings Risk with Positive and Negative Shocks"," Online Appendices 18-252, Review of Economic Dynamics.
    56. Chib, Siddhartha & Hamilton, Barton H., 2002. "Semiparametric Bayes analysis of longitudinal data treatment models," Journal of Econometrics, Elsevier, vol. 110(1), pages 67-89, September.
    57. Paulo Santos Monteiro, 2007. "Family Labor Supply, Precautionary Behavior, Aggregate Saving and Employment," 2007 Meeting Papers 180, Society for Economic Dynamics.
    58. Geweke, John, 2007. "Interpretation and inference in mixture models: Simple MCMC works," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3529-3550, April.
    59. Stéphane Bonhomme & Martin Weidner, 2019. "Posterior average effects," CeMMAP working papers CWP43/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    60. Shane T. Jensen & Stephen H. Shore, 2008. "Changes in the Distribution of Income Volatility," Papers 0808.1090, arXiv.org.
    61. Geweke, John, 2003. "Econometric issues in using the AHEAD panel," Journal of Econometrics, Elsevier, vol. 112(1), pages 115-120, January.
    62. Martin, Andrew D. & Quinn, Kevin M. & Park, Jong Hee, 2011. "MCMCpack: Markov Chain Monte Carlo in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 42(i09).
    63. Botosaru, Irene, 2023. "Time-varying unobserved heterogeneity in earnings shocks," Journal of Econometrics, Elsevier, vol. 235(2), pages 1378-1393.
    64. Cao, Yueming & Bai, Yunli & Zhang, Linxiu, 2020. "The impact of farmland property rights security on the farmland investment in rural China," Land Use Policy, Elsevier, vol. 97(C).
    65. Fatih Guvenen & Luigi Pistaferri & Giovanni L. Violante, 2022. "Global trends in income inequality and income dynamics: New insights from GRID," Quantitative Economics, Econometric Society, vol. 13(4), pages 1321-1360, November.
    66. González, Mariano & Larrú, José María, 2012. "Egalitarian aid. The impact of aid on Latin American inequality," MPRA Paper 41660, University Library of Munich, Germany.
    67. Geweke, John & Keane, Michael, 2005. "Bayesian Cross-Sectional Analysis of the Conditional Distribution of Earnings of Men in the United States, 1967-1996," MPRA Paper 54281, University Library of Munich, Germany.
    68. Mikhail Golosov & Maxim Troshkin & Aleh Tsyvinski, 2016. "Redistribution and Social Insurance," American Economic Review, American Economic Association, vol. 106(2), pages 359-386, February.
    69. Jean-Jacques Forneron, 2019. "A Sieve-SMM Estimator for Dynamic Models," Papers 1902.01456, arXiv.org, revised Jan 2023.
    70. Moira Daly & Dmytro Hryshko & Iourii Manovskii, 2022. "Improving The Measurement Of Earnings Dynamics," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(1), pages 95-124, February.
    71. Robert A. Moffitt & Peter Gottschalk, 2012. "Trends in the Transitory Variance of Male Earnings: Methods and Evidence," Journal of Human Resources, University of Wisconsin Press, vol. 47(1), pages 204-236.
    72. Islam, TM Tonmoy, 2013. "Childhood neighborhood conditions and the persistence of adult income," Regional Science and Urban Economics, Elsevier, vol. 43(4), pages 684-693.

  25. John Geweke, 1999. "Using simulation methods for bayesian econometric models: inference, development,and communication," Econometric Reviews, Taylor & Francis Journals, vol. 18(1), pages 1-73.
    See citations under working paper version above.
  26. Geweke, John & Petrella, Lea, 1998. "Prior Density-Ratio Class Robustness in Econometrics," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(4), pages 469-478, October.
    See citations under working paper version above.
  27. Geweke, John, 1998. "Real and Spurious Long-Memory Properties of Stock-Market Data: Comment," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 269-271, July.

    Cited by:

    1. Li, Y. & Donkers, A.C.D. & Melenberg, B., 2006. "The Non- and Semiparametric Analysis of MS Models : Some Applications," Other publications TiSEM c14adc9f-f490-40d6-81b7-8, Tilburg University, School of Economics and Management.
    2. Xue-Zhong He & Youwei Li, 2015. "The Adaptiveness in Stock Markets: Testing the Stylized Facts in the Dax 30," Research Paper Series 364, Quantitative Finance Research Centre, University of Technology, Sydney.
    3. John M. Maheu & Stephen Gordon, 2004. "Learning, Forecasting and Structural Breaks," Cahiers de recherche 0422, CIRPEE.
    4. Batten, Jonathan A. & Ellis, Craig & Fetherston, Thomas A., 2005. "Return anomalies on the Nikkei: Are they statistical illusions?," Chaos, Solitons & Fractals, Elsevier, vol. 23(4), pages 1125-1136.
    5. Elena Andreou & Eric Ghysels, 2001. "Detecting Mutiple Breaks in Financial Market Volatility Dynamics," CIRANO Working Papers 2001s-65, CIRANO.
    6. Jonathan Wright, 2002. "Log-Periodogram Estimation Of Long Memory Volatility Dependencies With Conditionally Heavy Tailed Returns," Econometric Reviews, Taylor & Francis Journals, vol. 21(4), pages 397-417.
    7. Giampiero M. Gallo & Yongmiao Hong & Tae-Why Lee, 2001. "Modelling the Impact of Overnight Surprises on Intra-daily Stock Returns," Econometrics Working Papers Archive wp2001_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
    8. Zeynel Abidin Ozdemir & Mehmet Balcilar & Aysit Tansel, 2011. "International Labour Force Participation Rates by Gender: Unit Root or Structural Breaks?," ERC Working Papers 1105, ERC - Economic Research Center, Middle East Technical University, revised Oct 2011.
    9. Li, Youwei & Hamill, Philip A. & Opong, Kwaku K., 2010. "Do benchmark African equity indices exhibit the stylized facts?," Global Finance Journal, Elsevier, vol. 21(1), pages 71-97.
    10. Maheu John, 2005. "Can GARCH Models Capture Long-Range Dependence?," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(4), pages 1-43, December.
    11. He, Xue-Zhong & Li, Youwei, 2015. "Testing of a market fraction model and power-law behaviour in the DAX 30," Journal of Empirical Finance, Elsevier, vol. 31(C), pages 1-17.
    12. He, Xue-Zhong & Li, Youwei, 2007. "Power-law behaviour, heterogeneity, and trend chasing," Journal of Economic Dynamics and Control, Elsevier, vol. 31(10), pages 3396-3426, October.
    13. Bollerslev, Tim & Wright, Jonathan H., 2000. "Semiparametric estimation of long-memory volatility dependencies: The role of high-frequency data," Journal of Econometrics, Elsevier, vol. 98(1), pages 81-106, September.
    14. Elena Andreou & Eric Ghysels, 2004. "Monitoring for Disruptions in Financial Markets," CIRANO Working Papers 2004s-26, CIRANO.

  28. Geweke, John F. & Keane, Michael P. & Runkle, David E., 1997. "Statistical inference in the multinomial multiperiod probit model," Journal of Econometrics, Elsevier, vol. 80(1), pages 125-165, September.
    See citations under working paper version above.
  29. Geweke, John & Zhou, Guofu, 1996. "Measuring the Pricing Error of the Arbitrage Pricing Theory," The Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 557-587.
    See citations under working paper version above.
  30. Geweke, John, 1996. "Bayesian reduced rank regression in econometrics," Journal of Econometrics, Elsevier, vol. 75(1), pages 121-146, November.
    See citations under working paper version above.
  31. John Geweke & David E. Runkle, 1995. "A fine time for monetary policy?," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 19(Win), pages 18-31.

    Cited by:

    1. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148, Elsevier.
    2. Berument, Hakan, 2007. "Measuring monetary policy for a small open economy: Turkey," Journal of Macroeconomics, Elsevier, vol. 29(2), pages 411-430, June.
    3. Redward, Peter & Saarenheimo, Tuomas, 1996. "From policy rate to market rates: An empirical analysis of Finnish monetary transmission," Bank of Finland Research Discussion Papers 22/1996, Bank of Finland.
    4. M. Berument & Selahattin Togay & Afsin Sahin, 2011. "Identifying the Liquidity Effects of Monetary Policy Shocks for a Small Open Economy: Turkey," Open Economies Review, Springer, vol. 22(4), pages 649-667, September.
    5. Choi, Jae-Young & Ratti, Ronald A., 2000. "The Predictive Power of Alternative Indicators of Monetary Policy," Journal of Macroeconomics, Elsevier, vol. 22(4), pages 581-610, October.

  32. Geweke, John & Keane, Michael P & Runkle, David, 1994. "Alternative Computational Approaches to Inference in the Multinomial Probit Model," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 609-632, November.
    See citations under working paper version above.
  33. Geweke, John, 1994. "Bayesian Analysis of Stochastic Volatility Models: Comment," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(4), pages 397-399, October.

    Cited by:

    1. Charles S. Bos & Neil Shephard, 2004. "Inference for Adaptive Time Series Models: Stochastic Volatility and Conditionally Gaussian State Space Form," Economics Papers 2004-W02, Economics Group, Nuffield College, University of Oxford.
    2. Christian Hotz-Behofsits & Florian Huber & Thomas O. Zorner, 2018. "Predicting crypto-currencies using sparse non-Gaussian state space models," Papers 1801.06373, arXiv.org, revised Feb 2018.
    3. Sangjoon Kim & Neil Shephard & Siddhartha Chib, 1998. "Stochastic Volatility: Likelihood Inference and Comparison with ARCH Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 361-393.
    4. Oliver de Groot, 2014. "Solving asset pricing models with stochastic volatility," Finance and Economics Discussion Series 2014-71, Board of Governors of the Federal Reserve System (U.S.).
    5. Celeux, Gilles & Marin, Jean-Michel & Robert, Christian P., 2006. "Iterated importance sampling in missing data problems," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3386-3404, August.
    6. A. Hachicha & F. Hachicha, 2021. "Analysis of the bitcoin stock market indexes using comparative study of two models SV with MCMC algorithm," Review of Quantitative Finance and Accounting, Springer, vol. 56(2), pages 647-673, February.
    7. Juan Hoyo & Guillermo Llorente & Carlos Rivero, 2020. "A Testing Procedure for Constant Parameters in Stochastic Volatility Models," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 163-186, June.

  34. Geweke, John, 1994. "Priors for Macroeconomic Time Series and Their Application," Econometric Theory, Cambridge University Press, vol. 10(3-4), pages 609-632, August.
    See citations under working paper version above.
  35. Geweke, J, 1993. "Bayesian Treatment of the Independent Student- t Linear Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages 19-40, Suppl. De.

    Cited by:

    1. Ahtiainen, Heini & Vanhatalo, Jarno, 2012. "The value of reducing eutrophication in European marine areas — A Bayesian meta-analysis," Ecological Economics, Elsevier, vol. 83(C), pages 1-10.
    2. Zhongxian Men & Tony S. Wirjanto & Adam W. Kolkiewicz, 2021. "Multiscale Stochastic Volatility Model with Heavy Tails and Leverage Effects," JRFM, MDPI, vol. 14(5), pages 1-28, May.
    3. Cem Ertur & Wilfried Koch, 2006. "The Role of Human Capital and Technological Interdependence in Growth and Convergence Processes: International Evidence," DEGIT Conference Papers c011_029, DEGIT, Dynamics, Economic Growth, and International Trade.
    4. Wolfgang Polasek & Richard Sellner, 2011. "Does Globalization affect Regional Growth? Evidence for NUTS-2 Regions in EU-27," Working Paper series 24_11, Rimini Centre for Economic Analysis.
    5. Fernandez, Carmen & Koop, Gary & Steel, Mark, 2000. "A Bayesian analysis of multiple-output production frontiers," Journal of Econometrics, Elsevier, vol. 98(1), pages 47-79, September.
    6. Seya, Hajime & Tsutsumi, Morito & Yamagata, Yoshiki, 2012. "Income convergence in Japan: A Bayesian spatial Durbin model approach," Economic Modelling, Elsevier, vol. 29(1), pages 60-71.
    7. Susanne Milcher & Manfred M. Fischer, 2011. "On labour market discrimination against Roma in South East Europe," ERSA conference papers ersa10p474, European Regional Science Association.
    8. Fernández, C. & Steel, M.F.J., 1997. "On the Dangers of Modelling through Continuous Distributions : A Bayesian Perspective," Discussion Paper 1997-05, Tilburg University, Center for Economic Research.
    9. Ching-Wai Chiu & Haroon Mumtaz & Gabor Pinter, 2016. "VAR Models with Non-Gaussian Shocks," Discussion Papers 1609, Centre for Macroeconomics (CFM).
    10. Li, Mingliang & Poirier, Dale J & Tobias, Justin, 2003. "Do Dropouts Suffer from Dropping Out? Estimation and Prediction of Outcome Gains in Generalized Selection Models," Staff General Research Papers Archive 12013, Iowa State University, Department of Economics.
    11. Efthymios Tsionas, 2000. "Full Likelihood Inference in Normal-Gamma Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 13(3), pages 183-205, May.
    12. Cristiano Villa & Stephen Walker, 2015. "An Objective Bayesian Criterion to Determine Model Prior Probabilities," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 42(4), pages 947-966, December.
    13. Lanne, Markku & Luoto, Jani, 2008. "Robustness of the risk-return relationship in the U.S. stock market," Finance Research Letters, Elsevier, vol. 5(2), pages 118-127, June.
    14. Vasco Curdia & Marco Del Negro & Daniel L. Greenwald, 2012. "Rare shocks, great recessions," Staff Reports 585, Federal Reserve Bank of New York.
    15. Egger, Peter & Larch, Mario, 2008. "Interdependent preferential trade agreement memberships: An empirical analysis," Journal of International Economics, Elsevier, vol. 76(2), pages 384-399, December.
    16. Olawale Awe O. & Adedayo Adepoju A., 2018. "Modified Recursive Bayesian Algorithm For Estimating Time-Varying Parameters In Dynamic Linear Models," Statistics in Transition New Series, Polish Statistical Association, vol. 19(2), pages 258-293, June.
    17. Philipp Otto & Osman Dou{g}an & Suleyman Tac{s}p{i}nar & Wolfgang Schmid & Anil K. Bera, 2023. "Spatial and Spatiotemporal Volatility Models: A Review," Papers 2308.13061, arXiv.org.
    18. Matthew J. Salois & Kelvin G. Balcombe, 2015. "A Generalized Bayesian Instrumental Variable Approach under Student t-distributed Errors with Application," Manchester School, University of Manchester, vol. 83(5), pages 499-522, September.
    19. Miazhynskaia, Tatiana & Fruhwirth-Schnatter, Sylvia & Dorffner, Georg, 2006. "Bayesian testing for non-linearity in volatility modeling," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 2029-2042, December.
    20. Michiel D. de Pooter & René Segers & Herman K. van Dijk, 2006. "On the Practice of Bayesian Inference in Basic Economic Time Series Models using Gibbs Sampling," Tinbergen Institute Discussion Papers 06-076/4, Tinbergen Institute.
    21. David Ardia & Lennart F. Hoogerheide, 2010. "Bayesian Estimation of the GARCH(1,1) Model with Student-t Innovations," Tinbergen Institute Discussion Papers 10-045/4, Tinbergen Institute.
    22. Doğan, Osman & Taşpınar, Süleyman, 2014. "Spatial autoregressive models with unknown heteroskedasticity: A comparison of Bayesian and robust GMM approach," Regional Science and Urban Economics, Elsevier, vol. 45(C), pages 1-21.
    23. Miranowski, John & Monchuk, Daniel C., 2004. "Spatial Labor Markets and Technology Spillovers - Analysis from the US Midwest," Staff General Research Papers Archive 12196, Iowa State University, Department of Economics.
    24. Katharina Schone & Wilfried Koch & Catherine Baumont, 2013. "Modeling local growth control decisions in a multi-city case: Do spatial interactions and lobbying efforts matter?," Post-Print halshs-01228450, HAL.
    25. Carmen Fernández & Mark Steel, 1998. "Reference priors for non-Normal two-sample problems," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 7(1), pages 179-205, June.
    26. Luc Bauwens & Charles S. Bos & Herman K. van Dijk, 1999. "Adaptive Polar Sampling with an Application to a Bayes Measure of Value-at-Risk," Tinbergen Institute Discussion Papers 99-082/4, Tinbergen Institute.
    27. Zhang, Xibin & King, Maxwell L., 2008. "Box-Cox stochastic volatility models with heavy-tails and correlated errors," Journal of Empirical Finance, Elsevier, vol. 15(3), pages 549-566, June.
    28. Aleksei Netsunajev & Katharina Glass, 2016. "Uncertainty and Employment Dynamics in the Euro Area and the US," SFB 649 Discussion Papers SFB649DP2016-002, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    29. Saleem A. Bahaj, 2014. "Systemic Sovereign Risk: Macroeconomic Implications in the Euro Area," Working Papers 191, Oesterreichische Nationalbank (Austrian Central Bank).
    30. ERTUR, Cem & KOCH, Wilfried, 2006. "Convergence, Human Capital and International Spillovers," LEG - Document de travail - Economie 2006-03, LEG, Laboratoire d'Economie et de Gestion, CNRS, Université de Bourgogne.
    31. Justin L. Tobias & Mingliang Li, 2003. "A finite-sample hierarchical analysis of wage variation across public high schools: evidence from the NLSY and high school and beyond," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(3), pages 315-336.
    32. White, Robin R. & Brady, Michael, 2014. "Can consumers’ willingness to pay incentivize adoption of environmental impact reducing technologies in meat animal production?," Food Policy, Elsevier, vol. 49(P1), pages 41-49.
    33. Hedibert F. Lopes & Nicholas G. Polson, 2016. "Particle Learning for Fat-Tailed Distributions," Econometric Reviews, Taylor & Francis Journals, vol. 35(8-10), pages 1666-1691, December.
    34. Bo Zhu & Miao Zhu & Jicai Jiang & Hong Niu & Yanhui Wang & Yang Wu & Lingyang Xu & Yan Chen & Lupei Zhang & Xue Gao & Huijiang Gao & Jianfeng Liu & Junya Li, 2016. "The Impact of Variable Degrees of Freedom and Scale Parameters in Bayesian Methods for Genomic Prediction in Chinese Simmental Beef Cattle," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-16, May.
    35. Figueroa-Zúñiga, Jorge I. & Arellano-Valle, Reinaldo B. & Ferrari, Silvia L.P., 2013. "Mixed beta regression: A Bayesian perspective," Computational Statistics & Data Analysis, Elsevier, vol. 61(C), pages 137-147.
    36. Chen, Cathy W.S. & Gerlach, Richard H. & Tai, Amanda P.J., 2008. "Testing for nonlinearity in mean and volatility for heteroskedastic models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 489-499.
    37. John Geweke & Michael P. Keane, 1997. "Mixture of normals probit models," Staff Report 237, Federal Reserve Bank of Minneapolis.
    38. Kleppe, Tore Selland & Liesenfeld, Roman, 2011. "Efficient high-dimensional importance sampling in mixture frameworks," Economics Working Papers 2011-11, Christian-Albrechts-University of Kiel, Department of Economics.
    39. Gao, Shen & Hou, Chenghan & Nguyen, Bao H., 2021. "Forecasting natural gas prices using highly flexible time-varying parameter models," Economic Modelling, Elsevier, vol. 105(C).
    40. James Lesage & Olivier Parent, 2006. "Using the Variance Structure of the Conditional Autoregressive Spatial Specification to Model Knowledge Spillovers," Post-Print hal-00375311, HAL.
    41. Dmitry Kulikov & Aleksei Netsunajev, 2013. "Identifying monetary policy shocks via heteroskedasticity: a Bayesian approach," Bank of Estonia Working Papers wp2013-9, Bank of Estonia, revised 09 Dec 2013.
    42. Ilenia Epifani & Rosella Nicolini, 2017. "Modelling population density over time: how spatial distance matters," Regional Studies, Taylor & Francis Journals, vol. 51(4), pages 602-615, April.
    43. Ruochen Wu & Melvyn Weeks, 2020. "A Semi-Parametric Bayesian Generalized Least Squares Estimator," Papers 2011.10252, arXiv.org, revised Jan 2023.
    44. Chan, Joshua C.C. & Kroese, Dirk P., 2010. "Efficient estimation of large portfolio loss probabilities in t-copula models," European Journal of Operational Research, Elsevier, vol. 205(2), pages 361-367, September.
    45. Wang, Yudong & Hao, Xianfeng, 2022. "Forecasting the real prices of crude oil: A robust weighted least squares approach," Energy Economics, Elsevier, vol. 116(C).
    46. Ardia, David & Lennart, Hoogerheide & Nienke, Corré, 2011. "Stock index returns’ density prediction using GARCH models: Frequentist or Bayesian estimation?," MPRA Paper 28259, University Library of Munich, Germany.
    47. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2005. "Measuring technical and allocative inefficiency in the translog cost system: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 126(2), pages 355-384, June.
    48. Hoogerheide, Lennart F. & Ardia, David & Corré, Nienke, 2012. "Density prediction of stock index returns using GARCH models: Frequentist or Bayesian estimation?," Economics Letters, Elsevier, vol. 116(3), pages 322-325.
    49. Doppelhofer, G. & Weeks, M., 2011. "Robust Growth Determinants," Cambridge Working Papers in Economics 1117, Faculty of Economics, University of Cambridge.
    50. Justin L. Tobias & Mingliang Li, 2004. "Returns to Schooling and Bayesian Model Averaging: A Union of Two Literatures," Journal of Economic Surveys, Wiley Blackwell, vol. 18(2), pages 153-180, April.
    51. Joshua Chan, 2023. "BVARs and Stochastic Volatility," Papers 2310.14438, arXiv.org.
    52. Chiu, Ching-Wai (Jeremy) & Mumtaz, Haroon & Pintér, Gábor, 2017. "Forecasting with VAR models: Fat tails and stochastic volatility," International Journal of Forecasting, Elsevier, vol. 33(4), pages 1124-1143.
    53. Sutter, Ryan, 2008. "The Existence of Positive Psychological Environments and Their Impact on Regional Entrepreneurship," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 38(3), pages 1-14.
    54. Artin Armagan & Russell Zaretzki, 2010. "Model selection via adaptive shrinkage with t priors," Computational Statistics, Springer, vol. 25(3), pages 441-461, September.
    55. Bauwens, Luc & Lubrano, Michel, 2002. "Bayesian option pricing using asymmetric GARCH models," Journal of Empirical Finance, Elsevier, vol. 9(3), pages 321-342, August.
    56. de Pooter, M.D. & Ravazzolo, F. & Segers, R. & van Dijk, H.K., 2008. "Bayesian near-boundary analysis in basic macroeconomic time series models," Econometric Institute Research Papers EI 2008-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    57. Joshua C. C. Chan, 2020. "Large Bayesian VARs: A Flexible Kronecker Error Covariance Structure," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(1), pages 68-79, January.
    58. LUBRANO, Michel, 1998. "Smooth transition GARCH models: a Bayesian perspective," LIDAM Discussion Papers CORE 1998066, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    59. Kleppe, Tore Selland & Liesenfeld, Roman, 2014. "Efficient importance sampling in mixture frameworks," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 449-463.
    60. Eric Jacquier & Nicholas G. Polson & Peter E. Rossi, 1999. "Stochastic Volatility: Univariate and Multivariate Extensions," CIRANO Working Papers 99s-26, CIRANO.
    61. Panagiotelis, Anastasios & Smith, Michael, 2008. "Bayesian density forecasting of intraday electricity prices using multivariate skew t distributions," International Journal of Forecasting, Elsevier, vol. 24(4), pages 710-727.
    62. Margarita Marín & Edilberto Cepeda-Cuervo, 2022. "A Bayesian Regression Model for the Non-standardized t Distribution with Location, Scale and Degrees of Freedom Parameters," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 84(2), pages 809-830, November.
    63. Xiaokun Wang & Kara M. Kockelman, 2009. "Baysian Inference For Ordered Response Data With A Dynamic Spatial‐Ordered Probit Model," Journal of Regional Science, Wiley Blackwell, vol. 49(5), pages 877-913, December.
    64. Panagiotidis, Theodore & Papapanagiotou, Georgios & Stengos, Thanasis, 2024. "A Bayesian approach for the determinants of bitcoin returns," International Review of Financial Analysis, Elsevier, vol. 91(C).
    65. Tsiotas, Georgios, 2012. "On generalised asymmetric stochastic volatility models," Computational Statistics & Data Analysis, Elsevier, vol. 56(1), pages 151-172, January.
    66. Richard Kleijn, 2000. "Bayesian Testing in Cointegration Models using the Jeffreys' Prior," Econometric Society World Congress 2000 Contributed Papers 1445, Econometric Society.
    67. Panagiotelis, Anastasios & Smith, Michael, 2010. "Bayesian skew selection for multivariate models," Computational Statistics & Data Analysis, Elsevier, vol. 54(7), pages 1824-1839, July.
    68. Nicolas Debarsy & Cem Ertur, 2006. "The European Enlargement Process and Regional Convergence Revisited: Spatial Effects Still Matter," ERSA conference papers ersa06p198, European Regional Science Association.
    69. Wang, Song-Gui & Ip, Wai-Cheung, 2003. "Inconsistency of estimate of the degree of freedom of multivariate student-t disturbances in linear regression models," Economics Letters, Elsevier, vol. 80(3), pages 383-389, September.
    70. Bin Chen & Jinho Choi & Juan Carlos Escanciano, 2015. "Testing for Fundamental Vector Moving Average Representations," CAEPR Working Papers 2015-022, Center for Applied Economics and Policy Research, Department of Economics, Indiana University Bloomington.
    71. Watanabe, Toshiaki, 2001. "On sampling the degree-of-freedom of Student's-t disturbances," Statistics & Probability Letters, Elsevier, vol. 52(2), pages 177-181, April.
    72. Steven C. Deller & Tessa Conroy & Philip Watson, 2017. "Women business owners: a source of stability during the great recession?," Applied Economics, Taylor & Francis Journals, vol. 49(56), pages 5686-5697, December.
    73. Ruben Ramirez-Padron & Boris Mederos & Avelino J. Gonzalez, 2021. "Robust weighted Gaussian processes," Computational Statistics, Springer, vol. 36(1), pages 347-373, March.
    74. Sheng-Kai Chang, 2014. "Simulation Estimation of Dynamic Panel Discrete Choice Models Using the $$t$$ t Distributions," Computational Economics, Springer;Society for Computational Economics, vol. 43(4), pages 395-409, April.
    75. Markku Lanne & Arto Luoma & Jani Luoto, 2012. "Bayesian Model Selection And Forecasting In Noncausal Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 812-830, August.
    76. Markku Lanne & Jani Luoto, 2014. "Noncausal Bayesian Vector Autoregression," CREATES Research Papers 2014-07, Department of Economics and Business Economics, Aarhus University.
    77. Chib, Siddhartha & Greenberg, Edward, 1996. "Markov Chain Monte Carlo Simulation Methods in Econometrics," Econometric Theory, Cambridge University Press, vol. 12(3), pages 409-431, August.
    78. Chang Sheng-Kai, 2011. "A Computationally Practical Robust Simulation Estimator for Dynamic Panel Tobit Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(4), pages 1-21, September.
    79. Heinrich, Markus, 2020. "Does the Current State of the Business Cycle matter for Real-Time Forecasting? A Mixed-Frequency Threshold VAR approach," EconStor Preprints 219312, ZBW - Leibniz Information Centre for Economics.
    80. Chenghan Hou & Bao Nguyen & Bo Zhang, 2023. "Real‐time forecasting of the Australian macroeconomy using flexible Bayesian VARs," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 418-451, March.
    81. Koop, G. & Strachan, R.W. & van Dijk, H.K. & Villani, M., 2005. "Bayesian approaches to cointegratrion," Econometric Institute Research Papers EI 2005-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    82. Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2016. "Bayesian Vector Autoregressions with Non-Gaussian Shocks," CReMFi Discussion Papers 5, CReMFi, School of Economics and Finance, QMUL.
    83. Junrong Liu & Robin C. Sickles & E. G. Tsionas, 2017. "Bayesian Treatments for Panel Data Stochastic Frontier Models with Time Varying Heterogeneity," Econometrics, MDPI, vol. 5(3), pages 1-21, July.
    84. Tim Olds & Daan Steenkamp, 2021. "Estimates of banklevel funding costs in South Africa," Working Papers 11005, South African Reserve Bank.
    85. David Ardia & Lukasz T. Gatarek & Lennart Hoogerheide & Herman K. Van Dijk, 2016. "Return and Risk of Pairs Trading Using a Simulation-Based Bayesian Procedure for Predicting Stable Ratios of Stock Prices," Econometrics, MDPI, vol. 4(1), pages 1-19, March.
    86. Deschamps, Philippe J., 2012. "Bayesian estimation of generalized hyperbolic skewed student GARCH models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3035-3054.
    87. Yacine Belarbi & Abdallah Zouache, 2009. "Regional Employment Growth And Spatial Dependencies In Algeria (1998-2005)," Working Papers 501, Economic Research Forum, revised Aug 2009.
    88. Miranowski, John A. & Monchuk, Daniel C., 2004. "Spatial Labor Markets and Technology Spillovers - Analysis from the US Midwest," Working Papers 18224, Iowa State University, Department of Economics.
    89. Hiroaki Chigira & Tsunemasa Shiba, 2012. "Dirichlet Prior for Estimating Unknown Regression Error Heteroscedasticity," Global COE Hi-Stat Discussion Paper Series gd12-248, Institute of Economic Research, Hitotsubashi University.
    90. Holt, Matthew T. & Goodwin, Barry K., 2009. "The Almost Ideal and Translog Demand Systems," MPRA Paper 15092, University Library of Munich, Germany.
    91. Desmet, Pierre & Feinberg, Fred M., 2003. "Ask and ye shall receive: The effect of the appeals scale on consumers' donation behavior," Journal of Economic Psychology, Elsevier, vol. 24(3), pages 349-376, June.
    92. Bobeica, Elena & Hartwig, Benny, 2023. "The COVID-19 shock and challenges for inflation modelling," International Journal of Forecasting, Elsevier, vol. 39(1), pages 519-539.
    93. Frank Kleibergen & Richard Kleijn & Richard Paap, 2000. "The Bayesian Score Statistic," Tinbergen Institute Discussion Papers 00-035/4, Tinbergen Institute.
    94. Fernández, C. & Steel, M.F.J., 1996. "On Bayesian Inference under Sampling from Scale Mixtures of Normals," Discussion Paper 1996-02, Tilburg University, Center for Economic Research.
    95. Donovan, Stuart & de Graaff, Thomas & Grimes, Arthur & de Groot, Henri L.F. & Maré, David C., 2022. "Cities with forking paths? Agglomeration economies in New Zealand 1976–2018," Regional Science and Urban Economics, Elsevier, vol. 95(C).
    96. Dimitrios P. Louzis, 2019. "Steady‐state modeling and macroeconomic forecasting quality," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 34(2), pages 285-314, March.
    97. Jesús Fernández-Villaverde, 2010. "The econometrics of DSGE models," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 1(1), pages 3-49, March.
    98. Hoek, Henk & Lucas, Andre & van Dijk, Herman K., 1995. "Classical and Bayesian aspects of robust unit root inference," Journal of Econometrics, Elsevier, vol. 69(1), pages 27-59, September.
    99. Haroon Mumtaz & Fulvia Marotta, 2023. "Vulnerability to Climate Change: Evidence from a Dynamic Factor Model," Working Papers 961, Queen Mary University of London, School of Economics and Finance.
    100. Doris A. Oberdabernig & Stefan Humer & Jesus Crespo Cuaresma, 2018. "Democracy, Geography and Model Uncertainty," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(2), pages 154-185, May.
    101. Kuo-Jung Lee & Yi-Chi Chen, 2018. "Of needles and haystacks: revisiting growth determinants by robust Bayesian variable selection," Empirical Economics, Springer, vol. 54(4), pages 1517-1547, June.
    102. Herculano, Miguel C., 2018. "The role of contagion in the transmission of financial stress," ESRB Working Paper Series 81, European Systemic Risk Board.
    103. Joshua C. C. Chan & Liana Jacobi & Dan Zhu, 2019. "An automated prior robustness analysis in Bayesian model comparison," CAMA Working Papers 2019-45, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    104. Steven Wei, 1999. "A bayesian approach to dynamic tobit models," Econometric Reviews, Taylor & Francis Journals, vol. 18(4), pages 417-439.
    105. Moeltner Klaus & Rosenberger Randall S, 2008. "Predicting Resource Policy Outcomes via Meta-Regression: Data Space, Model Space, and the Quest for 'Optimal Scope'," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 8(1), pages 1-31, August.
    106. Doppelhofer, G. & Weeks, M., 2005. "Jointness of Growth Determinants," Cambridge Working Papers in Economics 0542, Faculty of Economics, University of Cambridge.
    107. Jara, Alejandro & Quintana, Fernando & San Marti­n, Ernesto, 2008. "Linear mixed models with skew-elliptical distributions: A Bayesian approach," Computational Statistics & Data Analysis, Elsevier, vol. 52(11), pages 5033-5045, July.
    108. Bobeica, Elena & Hartwig, Benny, 2021. "The COVID-19 shock and challenges for time series models," Working Paper Series 2558, European Central Bank.
    109. Hua Sun & Yong Tu & Shi-Ming Yu, 2005. "A Spatio-Temporal Autoregressive Model for Multi-Unit Residential Market Analysis," The Journal of Real Estate Finance and Economics, Springer, vol. 31(2), pages 155-187, September.
    110. Geweke, John & Keane, Michael P & Runkle, David, 1994. "Alternative Computational Approaches to Inference in the Multinomial Probit Model," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 609-632, November.
    111. KOROBILIS, Dimitris, 2011. "Hierarchical shrinkage priors for dynamic regressions with many predictors," LIDAM Discussion Papers CORE 2011021, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    112. Jiawen Luo & Langnan Chen, 2019. "Multivariate realized volatility forecasts of agricultural commodity futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 39(12), pages 1565-1586, December.
    113. Balcombe, Kelvin & Fraser, Iain, 2017. "Do bubbles have an explosive signature in markov switching models?," Economic Modelling, Elsevier, vol. 66(C), pages 81-100.
    114. Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2014. "Fat-tails in VAR Models," Working Papers 714, Queen Mary University of London, School of Economics and Finance.
    115. Moeltner, Klaus, 2019. "Bayesian nonlinear meta regression for benefit transfer," Journal of Environmental Economics and Management, Elsevier, vol. 93(C), pages 44-62.
    116. Lee, Kuo-Jung & Feldkircher, Martin & Chen, Yi-Chi, 2021. "Variable selection in finite mixture of regression models with an unknown number of components," Computational Statistics & Data Analysis, Elsevier, vol. 158(C).
    117. C. Glocker & G. Sestieri & P. Towbin, 2017. "Time-varying fiscal spending multipliers in the UK," Working papers 643, Banque de France.
    118. LeSage, James P. & Polasek, Wolfgang, 2006. "Incorporating Transportation Network Structure in Spatial Econometric Models of Commodity Flows," Economics Series 188, Institute for Advanced Studies.
    119. Jan Henneke & Svetlozar Rachev & Frank Fabozzi & Metodi Nikolov, 2011. "MCMC-based estimation of Markov Switching ARMA-GARCH models," Applied Economics, Taylor & Francis Journals, vol. 43(3), pages 259-271.
    120. Christopher N. Boyer & Dayton M. Lambert & Charles C. Martinez & Joshua G. Maples, 2023. "Beef and pork processing plant labor costs," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 691-702, July.
    121. B. Tarami & M. Pourahmadi, 2003. "Multi‐variate t Autoregressions: Innovations, Prediction Variances and Exact Likelihood Equations," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(6), pages 739-754, November.
    122. Aparecida Souza & Helio Migon, 2010. "Bayesian outlier analysis in binary regression," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(8), pages 1355-1368.
    123. Tsionas, Mike G., 2020. "A note on Sigma–Mu efficiency analysis as a methodology for evaluating units through composite indicators," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1187-1196.
    124. José-Antonio Monteiro, 2010. "Eco-label Adoption in an Interdependent World," IRENE Working Papers 10-01, IRENE Institute of Economic Research.
    125. Chew Lian Chua & Sandy Suardi & Sarantis Tsiaplias, 2011. "Predicting Short-Term Interest Rates: Does Bayesian Model Averaging Provide Forecast Improvement?," Melbourne Institute Working Paper Series wp2011n01, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    126. Deschamps, Philippe J., 2006. "A flexible prior distribution for Markov switching autoregressions with Student-t errors," Journal of Econometrics, Elsevier, vol. 133(1), pages 153-190, July.
    127. Holtermann, Linus & Rische, Marie-Christin, 2020. "The Subnational Effect of Temperature on Economic Production: A Disaggregated Analysis in European Regions," MPRA Paper 104606, University Library of Munich, Germany.
    128. Joshua C. C. Chan, 2019. "Large Bayesian vector autoregressions," CAMA Working Papers 2019-19, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    129. Tsionas, Efthymios G., 1998. "Monte Carlo inference in econometric models with symmetric stable disturbances," Journal of Econometrics, Elsevier, vol. 88(2), pages 365-401, November.
    130. Chan, Joshua C.C., 2021. "Minnesota-type adaptive hierarchical priors for large Bayesian VARs," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1212-1226.
    131. Vosseler, Alexander, 2016. "Bayesian model selection for unit root testing with multiple structural breaks," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 616-630.
    132. Jin, Xin & Maheu, John M., 2016. "Modeling covariance breakdowns in multivariate GARCH," Journal of Econometrics, Elsevier, vol. 194(1), pages 1-23.
    133. Monique DANTAS & Frédéric GASCHET & Guillaume POUYANNE, 2010. "Regulatory zoning and coastal housing prices: a bayesian hedonic approach (In French)," Cahiers du GREThA (2007-2019) 2010-12, Groupe de Recherche en Economie Théorique et Appliquée (GREThA).
    134. Susan L. Ettner & Betsy L. Cadwell & Louise B. Russell & Arleen Brown & Andrew J. Karter & Monika Safford & Carol Mangione & Gloria Beckles & William H. Herman & Theodore J. Thompson & and The TRIAD S, 2009. "Investing time in health: do socioeconomically disadvantaged patients spend more or less extra time on diabetes self‐care?," Health Economics, John Wiley & Sons, Ltd., vol. 18(6), pages 645-663, June.
    135. Cross, Jamie L. & Hou, Chenghan & Trinh, Kelly, 2021. "Returns, volatility and the cryptocurrency bubble of 2017–18," Economic Modelling, Elsevier, vol. 104(C).
    136. Karlsson, Sune & Kiss, Tamás & Nguyen, Hoang & Österholm, Pär, 2024. "US Interest Rates: Are Relations Stable?," Working Papers 2024:3, Örebro University, School of Business.
    137. Petrella, Ivan & Antolin-Diaz, Juan & Drechsel, Thomas, 2021. "Advances in Nowcasting Economic Activity: Secular Trends, Large Shocks and New Data," CEPR Discussion Papers 15926, C.E.P.R. Discussion Papers.
    138. Bassetti, Federico & De Giuli, Maria Elena & Nicolino, Enrica & Tarantola, Claudia, 2018. "Multivariate dependence analysis via tree copula models: An application to one-year forward energy contracts," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1107-1121.
    139. Hultblad, Brigitta & Karlsson, Sune, 2006. "Bayesian simultaneous determination of structural breaks and lag lengths," SSE/EFI Working Paper Series in Economics and Finance 630, Stockholm School of Economics.
    140. Glocker, Christian & Sestieri, Giulia & Towbin, Pascal, 2019. "Time-varying government spending multipliers in the UK," Journal of Macroeconomics, Elsevier, vol. 60(C), pages 180-197.
    141. Francesco Pattarin, 2018. "Spending Policies of Italian Banking Foundations," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0071, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    142. Startz, Richard, 2012. "Bayesian Heteroskedasticity-Robust Standard Errors," University of California at Santa Barbara, Economics Working Paper Series qt69c4x8m9, Department of Economics, UC Santa Barbara.
    143. Carmen Fernandez & Mark F J Steel, 1999. "Bayesian Regression Analysis with scale mixtures of normals," Edinburgh School of Economics Discussion Paper Series 27, Edinburgh School of Economics, University of Edinburgh.
    144. Philipp Piribauer, 2016. "Heterogeneity in spatial growth clusters," Empirical Economics, Springer, vol. 51(2), pages 659-680, September.
    145. Tsionas, Efthymios G., 2000. "Bayesian model comparison by Markov chain simulation: Illustration using stock market data," Research in Economics, Elsevier, vol. 54(4), pages 403-416, December.
    146. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676, July.
    147. Fernández, C. & Steel, M.F.J., 1997. "Multivariate Student -t Regression Models : Pitfalls and Inference," Discussion Paper 1997-08, Tilburg University, Center for Economic Research.
    148. Jacquier, Eric & Polson, Nicholas G. & Rossi, P.E.Peter E., 2004. "Bayesian analysis of stochastic volatility models with fat-tails and correlated errors," Journal of Econometrics, Elsevier, vol. 122(1), pages 185-212, September.
    149. Sheng-Kai Chang, 2012. "State dependence, serial correlation and heterogeneity in the union membership dynamics," Applied Economics, Taylor & Francis Journals, vol. 44(26), pages 3453-3460, September.
    150. Tatiana Miazhynskaia & Georg Dorffner, 2006. "A comparison of Bayesian model selection based on MCMC with an application to GARCH-type models," Statistical Papers, Springer, vol. 47(4), pages 525-549, October.
    151. Nappi-Choulet, Ingrid & Maury, Tristan-Pierre, 2008. "A Spatiotemporal Autoregressive Price Index for the Paris Office Property Market," ESSEC Working Papers DR 08008, ESSEC Research Center, ESSEC Business School.
    152. Ehlers, Ricardo S., 2012. "Computational tools for comparing asymmetric GARCH models via Bayes factors," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(5), pages 858-867.
    153. Byron Botha & Geordie Reid & Tim Olds & Daan Steenkamp & Rossouw van Jaarsveld, 2021. "Nowcasting South African GDP using a suite of statistical models," Working Papers 11001, South African Reserve Bank.
    154. Octavio Fernández-Amador & Doris A. Oberdabernig & Patrick Tomberger, 2019. "Testing for Convergence in Carbon Dioxide Emissions Using a Bayesian Robust Structural Model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 73(4), pages 1265-1286, August.
    155. Antony Andrews & Sean Kimpton, 2023. "Econometric Forecasting of Tourist Arrivals Using Bayesian Structural Time‐Series," Economic Papers, The Economic Society of Australia, vol. 42(2), pages 200-211, June.
    156. Gao, Shen & Hou, Chenghan & Nguyen, Bao H., 2020. "Forecasting natural gas prices using highly flexible time-varying parameter models," Working Papers 2020-01, University of Tasmania, Tasmanian School of Business and Economics.
    157. Assaf, A. George & Tsionas, Mike & Oh, Haemoon, 2018. "The time has come: Toward Bayesian SEM estimation in tourism research," Tourism Management, Elsevier, vol. 64(C), pages 98-109.
    158. Cross, Jamie & Poon, Aubrey, 2016. "Forecasting structural change and fat-tailed events in Australian macroeconomic variables," Economic Modelling, Elsevier, vol. 58(C), pages 34-51.
    159. Cabral, Celso Rômulo Barbosa & Bolfarine, Heleno & Pereira, José Raimundo Gomes, 2008. "Bayesian density estimation using skew student-t-normal mixtures," Computational Statistics & Data Analysis, Elsevier, vol. 52(12), pages 5075-5090, August.
    160. Aldo M. Garay & Heleno Bolfarine & Victor H. Lachos & Celso R.B. Cabral, 2015. "Bayesian analysis of censored linear regression models with scale mixtures of normal distributions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(12), pages 2694-2714, December.
    161. Chamberlain Mbah & Kris Peremans & Stefan Van Aelst & Dries F. Benoit, 2019. "Robust Bayesian seemingly unrelated regression model," Computational Statistics, Springer, vol. 34(3), pages 1135-1157, September.
    162. Steven Deller & Philip Watson, 2016. "Did Regional Economic Diversity Influence The Effects Of The Great Recession?," Economic Inquiry, Western Economic Association International, vol. 54(4), pages 1824-1838, October.
    163. Dmitry Kulikov & Aleksei Netsunajev, 2016. "Identifying Shocks in Structural VAR models via heteroskedasticity: a Bayesian approach," Bank of Estonia Working Papers wp2015-8, Bank of Estonia, revised 19 Feb 2016.
    164. Piribauer, Philipp & Glocker, Christian & Krisztin, Tamás, 2023. "Beyond distance: The spatial relationships of European regional economic growth," Journal of Economic Dynamics and Control, Elsevier, vol. 155(C).
    165. Zellner, Arnold & Ando, Tomohiro, 2010. "Bayesian and non-Bayesian analysis of the seemingly unrelated regression model with Student-t errors, and its application for forecasting," International Journal of Forecasting, Elsevier, vol. 26(2), pages 413-434, April.
    166. Jesus Fernandez-Villaverde & Juan F. Rubio-Ramirez, 2006. "The Research Agenda: Jesus Fernandez-Villaverde and Juan F. Rubio-Ramirez on Estimating DSGE Models," EconomicDynamics Newsletter, Review of Economic Dynamics, vol. 8(1), November.
    167. Soundararajan, Pushparaj, 2013. "Regional income convergence in India: A Bayesian Spatial Durbin Model approach," MPRA Paper 44744, University Library of Munich, Germany.
    168. Kakamu, Kazuhiko & Polasek, Wolfgang & Wago, Hajime, 2008. "Spatial interaction of crime incidents in Japan," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 276-282.
    169. Zoltan Acs & Lawrence A. Plummer & Ryan Sutter, 2007. "Penetrating the Knowledge Filter in the Rust Belt," Jena Economics Research Papers 2007-058, Friedrich-Schiller-University Jena.
    170. Wiper, Michael Peter & Giron, F.J. & Pewsey, A., 2005. "Bayesian inference for the half-normal and half-t distributions," DES - Working Papers. Statistics and Econometrics. WS ws054709, Universidad Carlos III de Madrid. Departamento de Estadística.
    171. Zhongxian Men & Adam W. Kolkiewicz & Tony S. Wirjanto, 2013. "Bayesian Inference of Asymmetric Stochastic Conditional Duration Models," Working Paper series 28_13, Rimini Centre for Economic Analysis.
    172. Morito Tsutsumi & Hajime Seya, 2008. "Measuring the impact of large‐scale transportation projects on land price using spatial statistical models," Papers in Regional Science, Wiley Blackwell, vol. 87(3), pages 385-401, August.
    173. Gao, Chuanming & Lahiri, Kajal, 2000. "Further consequences of viewing LIML as an iterated Aitken estimator," Journal of Econometrics, Elsevier, vol. 98(2), pages 187-202, October.
    174. Joshua C. C. Chan, 2005. "Replication of the results in ‘learning about heterogeneity in returns to schooling’," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(3), pages 439-443, March.
    175. Dave, Chetan & Sorge, Marco, 2023. "Fat Tailed DSGE Models: A Survey and New Results," Working Papers 2023-3, University of Alberta, Department of Economics.
    176. Salois, Matthew & Balcombe, Kelvin, 2011. "Do Food Stamps Cause Obesity? A Generalised Bayesian Instrumental Variable Approach in the Presence of Heteroscedasticity," MPRA Paper 28745, University Library of Munich, Germany.
    177. Joshua Chan & Dirk Kroese, 2011. "Rare-event probability estimation with conditional Monte Carlo," Annals of Operations Research, Springer, vol. 189(1), pages 43-61, September.
    178. Hartwig, Benny, 2022. "Bayesian VARs and prior calibration in times of COVID-19," Discussion Papers 52/2022, Deutsche Bundesbank.
    179. James LeSage & Carlos Llano-Verduras, 2014. "Forecasting spatially dependent origin and destination commodity flows," Empirical Economics, Springer, vol. 47(4), pages 1543-1562, December.
    180. Doppelhofer, Gernot & Hansen, Ole-Petter Moe & Weeks, Melvyn, 2016. "Determinants of long-term economic Growth redux: A Measurement Error Model Averaging (MEMA) approach," Discussion Paper Series in Economics 19/2016, Norwegian School of Economics, Department of Economics.
    181. James P. LeSage & Daniel Hendrikz, 2019. "Large Bayesian vector autoregressive forecasting for regions: A comparison of methods based on alternative disturbance structures," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 62(3), pages 563-599, June.
    182. Byron Botha & Tim Olds & Geordie Reid & Daan Steenkamp & Rossouw van Jaarsveld, 2021. "Nowcasting South African gross domestic product using a suite of statistical models," South African Journal of Economics, Economic Society of South Africa, vol. 89(4), pages 526-554, December.
    183. Jin Zhao, 2019. "Information Entropy-Based Housing Spatiotemporal Dependence," The Journal of Real Estate Finance and Economics, Springer, vol. 58(1), pages 21-50, January.

  36. Geweke, John, 1993. "Forecasting time series with common seasonal patterns," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 201-202.

    Cited by:

    1. Ionel Birgean & Lutz Kilian, 2002. "Data-Driven Nonparametric Spectral Density Estimators For Economic Time Series: A Monte Carlo Study," Econometric Reviews, Taylor & Francis Journals, vol. 21(4), pages 449-476.

  37. Barnett, William A. & Geweke, John & Wolfe, Michael, 1991. "Seminonparametric Bayesian estimation of the asymptotically ideal production model," Journal of Econometrics, Elsevier, vol. 49(1-2), pages 5-50.

    Cited by:

    1. Guohua Feng & Apostolos Serletis, 2009. "Efficiency, Technical Change, and Returns to Scale in Large U.S. Banks: Panel Data Evidence from an Output Distance Function Satisfying Theoretical Regularity," Monash Econometrics and Business Statistics Working Papers 5/09, Monash University, Department of Econometrics and Business Statistics.
    2. William A. Barnett & Melvin J. Hinich & Piyu Yue, 2000. "The Exact Theoretical Rational Expectations Monetary Aggregate," Macroeconomics 0003004, University Library of Munich, Germany.
    3. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," MPRA Paper 8413, University Library of Munich, Germany.
    4. Koop, Gary & Osiewalski, Jacek & Steel, Mark F J, 1994. "Bayesian Efficiency Analysis with a Flexible Form: The AIM Cost Function," Journal of Business & Economic Statistics, American Statistical Association, vol. 12(3), pages 339-346, July.
    5. William A. Barnett, 2001. "Fellow's Opinion: Tastes and Technology, Curvature is not Sufficient for Regularity," Econometrics 0110007, University Library of Munich, Germany.
    6. Geweke, John & Petrella, Lea, 2014. "Likelihood-based inference for regular functions with fractional polynomial approximations," Journal of Econometrics, Elsevier, vol. 183(1), pages 22-30.
    7. William Barnett & Milka Kirova & Meenakshi Pasupathy, 2012. "Technology Modeling: Curvature is not Sufficient for Regularity," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201214, University of Kansas, Department of Economics, revised Sep 2012.
    8. Hendrik Wolff & Thomas Heckelei & Ron C. Mittelhammer, 2004. "Imposing Curvature and Monotonicity on Flexible Functional Forms: An Efficient Regional Approach," Econometric Society 2004 North American Summer Meetings 450, Econometric Society.
    9. William A. Barnett, 2004. "Tastes and Technology: Curvature Is Not Sufficient for Regularity," Contributions to Economic Analysis, in: Functional Structure and Approximation in Econometrics, pages 429-433, Emerald Group Publishing Limited.
    10. McCausland, William J., 2008. "On Bayesian analysis and computation for functions with monotonicity and curvature restrictions," Journal of Econometrics, Elsevier, vol. 142(1), pages 484-507, January.
    11. David C. Wheelock & Paul W. Wilson, 2007. "Non-parametric, unconditional quantile estimation for efficiency analysis with an application to Federal Reserve check processing operations," Working Papers 2005-027, Federal Reserve Bank of St. Louis.
    12. William A. Barnett & Meenakshi Pasupathy, 2001. "Regularity Of The Generalized Quadratic Production Model: A Counterexample," Econometrics 0112001, University Library of Munich, Germany.
    13. Guy Chapda Nana & Bruno Larue, 2014. "Imposing curvature conditions on flexible functional forms for GNP functions," Empirical Economics, Springer, vol. 47(4), pages 1411-1440, December.
    14. Kenneth Stewart & J. Jones, 2010. "Are sports teams multiproduct firms?," Empirical Economics, Springer, vol. 39(2), pages 487-514, October.
    15. Malikov, Emir & Hartarska, Valentina, 2018. "Endogenous Scope Economies in Microfinance Institutions," MPRA Paper 87450, University Library of Munich, Germany.
    16. Malikov, Emir & Kumbhakar, Subal C. & Tsionas, Efthymios, 2015. "A Cost System Approach to the Stochastic Directional Technology Distance Function with Undesirable Outputs: The Case of U.S. Banks in 2001-2010," MPRA Paper 66490, University Library of Munich, Germany.
    17. McCAUSLAND, William, 2004. "Bayesian Analysis for a Theory of Random Consumer Demand: The Case of Indivisible Goods," Cahiers de recherche 2004-05, Universite de Montreal, Departement de sciences economiques.
    18. Keane, Michael, 2003. "Comment on “Simulation and Estimation of Hedonic Models” by Heckman, Matzkin and Nesheim," MPRA Paper 55141, University Library of Munich, Germany.
    19. David C. Wheelock & Paul W. Wilson, 1997. "New evidence on returns to scale and product mix among U.S. commercial banks," Working Papers 1997-003, Federal Reserve Bank of St. Louis.
    20. Emir Malikov & Subal C. Kumbhakar & Efthymios G. Tsionas, 2015. "Bayesian Approach to Disentangling Technical and Environmental Productivity," Econometrics, MDPI, vol. 3(2), pages 1-23, June.
    21. Serletis, Apostolos & Timilsina, Govinda & Vasetsky, Olexandr, 2009. "On interfuel substitution : some international evidence," Policy Research Working Paper Series 5026, The World Bank.
    22. Piyu Yue, 1991. "A microeconomic approach to estimating demand: the asymptotically ideal model," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 36-51.
    23. Fleissig, Adrian R. & Kastens, Terry & Terrell, Dek, 1997. "Semi-nonparametric estimates of substitution elasticities," Economics Letters, Elsevier, vol. 54(3), pages 209-215, July.
    24. Mark Jensen, 1997. "Revisiting the flexibility and regularity properties of the asymptotically ideal production model," Econometric Reviews, Taylor & Francis Journals, vol. 16(2), pages 179-203.
    25. Wolff, Hendrik & Heckelei, Thomas & Mittelhammer, Ronald C., 2004. "Imposing Monotonicity And Curvature On Flexible Functional Forms," 2004 Annual meeting, August 1-4, Denver, CO 20256, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    26. Apostolos Serletis & Guohua Feng, "undated". "Imposing Theoretical Regularity on Flexible Functional Forms," Working Papers 2013-11, Department of Economics, University of Calgary.
    27. Apostolos Serletis & A K M Nurul Hossain, "undated". "Technical Change in U.S. Industries," Working Papers 2019-17, Department of Economics, University of Calgary, revised 03 Dec 2019.
    28. Feng, Guohua & Serletis, Apostolos, 2008. "Productivity trends in U.S. manufacturing: Evidence from the NQ and AIM cost functions," Journal of Econometrics, Elsevier, vol. 142(1), pages 281-311, January.
    29. Kenneth Stewart, 2009. "Non-jointness and scope economies in the multiproduct symmetric generalized McFadden cost function," Journal of Productivity Analysis, Springer, vol. 32(3), pages 161-171, December.
    30. Millimet, Daniel L. & Tchernis, Rusty, 2008. "Estimating high-dimensional demand systems in the presence of many binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 147(2), pages 384-395, December.
    31. James J. Heckman & Apostolos Serletis, "undated". "Introduction to Internally Consistent Modeling, Aggregation, Inference, and Policy," Working Papers 2014-73, Department of Economics, University of Calgary, revised 29 Sep 2014.
    32. William Barnett, 2012. "Fellowís Opinion Article: Tastes and Technology: Curvature is not Sufficient for Regularity," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201232, University of Kansas, Department of Economics, revised Sep 2012.
    33. Tullio Gregori, 1998. "A Bayesian approach to analyze regional elasticities," ERSA conference papers ersa98p226, European Regional Science Association.
    34. Dongfeng Chang & Apostolos Serletis, 2014. "The Demand For Gasoline: Evidence From Household Survey Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(2), pages 291-313, March.
    35. Mahfuza Khatun, 2015. "Experience, Education, and Entrepreneurial Success: A View from Bangladesh," Journal of Social and Development Sciences, AMH International, vol. 6(4), pages 71-81.
    36. Steinbuks, Jevgenijs & Neuhoff, Karsten, 2014. "Assessing energy price induced improvements in efficiency of capital in OECD manufacturing industries," Journal of Environmental Economics and Management, Elsevier, vol. 68(2), pages 340-356.
    37. Emir Malikov & Raushan Bokusheva & Subal C. Kumbhakar, 2018. "A hedonic-output-index-based approach to modeling polluting technologies," Empirical Economics, Springer, vol. 54(1), pages 287-308, February.
    38. Guohua Feng & Apostolos Serletis, 2009. "Efficiency and productivity of the US banking industry, 1998-2005: evidence from the Fourier cost function satisfying global regularity conditions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 105-138.
    39. Hilmer, Christiana E. & Holt, Matthew T., 2000. "A Comparison Of Resampling Techniques When Parameters Are On A Boundary: The Bootstrap, Subsample Bootstrap, And Subsample Jackknife," 2000 Annual meeting, July 30-August 2, Tampa, FL 21810, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    40. Fleissig, Adrian R. & Kastens, Terry & Terrell, Dek, 2000. "Evaluating the semi-nonparametric fourier, aim, and neural networks cost functions," Economics Letters, Elsevier, vol. 68(3), pages 235-244, September.
    41. Feng, Guohua & Serletis, Apostolos, 2014. "Undesirable outputs and a primal Divisia productivity index based on the directional output distance function," Journal of Econometrics, Elsevier, vol. 183(1), pages 135-146.
    42. Serletis, Apostolos & Timilsina, Govinda & Vasetsky, Olexandr, 2011. "International evidence on aggregate short-run and long-run interfuel substitution," Energy Economics, Elsevier, vol. 33(2), pages 209-216, March.
    43. Romeo, Charles J, 1999. "Conducting Inference in Semiparametric Duration Models under Inequality Restrictions on the Shape of the Hazard Implied by Job Search Theory," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(6), pages 587-605, Nov.-Dec..
    44. Hang Keun Ryu, 2003. "Choice of representation system for economic analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 10(13), pages 863-866.
    45. Lusk, Jayson L. & Featherstone, Allen M., 1999. "The Multi-Product Asymptotically Ideal Model: An Application To Agriculture," 1999 Annual meeting, August 8-11, Nashville, TN 21503, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

  38. Geweke, John, 1989. "Exact predictive densities for linear models with arch disturbances," Journal of Econometrics, Elsevier, vol. 40(1), pages 63-86, January.

    Cited by:

    1. Bos, C.S. & Mahieu, R.J. & van Dijk, H.K., 2000. "On the variation of hedging decisions in daily currency risk management," Econometric Institute Research Papers EI 2000-20/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Lanne, Markku & Luoto, Jani, 2008. "Robustness of the risk-return relationship in the U.S. stock market," Finance Research Letters, Elsevier, vol. 5(2), pages 118-127, June.
    3. Nobuhiko Terui, 1997. "Forecasting Dynamic Market Share Relationships," Tinbergen Institute Discussion Papers 97-042/4, Tinbergen Institute.
    4. Manabu Asai & Michael McAleer, 2022. "Bayesian Analysis of Realized Matrix-Exponential GARCH Models," Computational Economics, Springer;Society for Computational Economics, vol. 59(1), pages 103-123, January.
    5. Chan, Joshua & Eisenstat, Eric, 2012. "Marginal Likelihood Estimation with the Cross-Entropy Method," MPRA Paper 40051, University Library of Munich, Germany.
    6. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    7. Reeves, Jonathan J., 2005. "Bootstrap prediction intervals for ARCH models," International Journal of Forecasting, Elsevier, vol. 21(2), pages 237-248.
    8. Juan Carlos Ruilova & Pedro Alberto Morettin, 2020. "Parsimonious Heterogeneous ARCH Models for High Frequency Modeling," JRFM, MDPI, vol. 13(2), pages 1-19, February.
    9. Jeroen V.K. Rombouts & Lars Stentoft, 2009. "Bayesian Option Pricing Using Mixed Normal Heteroskedasticity Models," CREATES Research Papers 2009-07, Department of Economics and Business Economics, Aarhus University.
    10. Luc Bauwens & Charles S. Bos & Herman K. van Dijk, 1999. "Adaptive Polar Sampling with an Application to a Bayes Measure of Value-at-Risk," Tinbergen Institute Discussion Papers 99-082/4, Tinbergen Institute.
    11. Kleibergen, F.R. & Hoek, H., 1995. "Bayesian Analysis of ARMA models using Noninformative Priors," Econometric Institute Research Papers EI 9553-/B, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Font, Begoña, 1998. "Modelización de series temporales financieras. Una recopilación," DES - Documentos de Trabajo. Estadística y Econometría. DS 3664, Universidad Carlos III de Madrid. Departamento de Estadística.
    13. Leandro Maciel, 2021. "Cryptocurrencies value‐at‐risk and expected shortfall: Do regime‐switching volatility models improve forecasting?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4840-4855, July.
    14. David Ardia & Lennart F. Hoogerheide, 2010. "Efficient Bayesian Estimation and Combination of GARCH-Type Models," Tinbergen Institute Discussion Papers 10-046/4, Tinbergen Institute.
    15. Jacek Osiewalski & Mateusz Pipien, 2004. "Bayesian Comparison of Bivariate GARCH Processes in the Presence of an Exogenous Variable," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 6, pages 25-36.
    16. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2001. "Modeling and Forecasting Realized Volatility," NBER Working Papers 8160, National Bureau of Economic Research, Inc.
    17. Ausin, Maria Concepcion & Galeano, Pedro, 2007. "Bayesian estimation of the Gaussian mixture GARCH model," Computational Statistics & Data Analysis, Elsevier, vol. 51(5), pages 2636-2652, February.
    18. Bauwens, Luc & Lubrano, Michel, 2002. "Bayesian option pricing using asymmetric GARCH models," Journal of Empirical Finance, Elsevier, vol. 9(3), pages 321-342, August.
    19. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2005. "Volatility forecasting," CFS Working Paper Series 2005/08, Center for Financial Studies (CFS).
    20. Bollerslev, Tim & Engle, Robert F. & Nelson, Daniel B., 1986. "Arch models," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 49, pages 2959-3038, Elsevier.
    21. John Geweke, 1998. "Using simulation methods for Bayesian econometric models: inference, development, and communication," Staff Report 249, Federal Reserve Bank of Minneapolis.
    22. Marsh, Thomas L. & Mittelhammer, Ronald C., 2000. "Truncated Regression In Empirical Estimation," 2000 Annual Meeting, June 29-July 1, 2000, Vancouver, British Columbia 36391, Western Agricultural Economics Association.
    23. Wago, Hajime, 2004. "Bayesian estimation of smooth transition GARCH model using Gibbs sampling," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(1), pages 63-78.
    24. Tom Leonard & John Hsu & Kam-Wah Tsui & James Murray, 1994. "Bayesian and likelihood inference from equally weighted mixtures," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 46(2), pages 203-220, June.
    25. Galvao Jr., Antonio F., 2011. "Quantile regression for dynamic panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 164(1), pages 142-157, September.
    26. Ben Naceur, Hassen, 2014. "Stock Market Indexes: A random walk test with ARCH (q) disturbances," MPRA Paper 78978, University Library of Munich, Germany.
    27. Charles S. Bos & Ronald J. Mahieu & Herman K. Van Dijk, 2000. "Daily exchange rate behaviour and hedging of currency risk," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 671-696.
    28. Ardia, David & Bluteau, Keven & Boudt, Kris & Catania, Leopoldo, 2018. "Forecasting risk with Markov-switching GARCH models:A large-scale performance study," International Journal of Forecasting, Elsevier, vol. 34(4), pages 733-747.
    29. Christian Francq & Jean-Michel Zakoïan, 2008. "A Tour in the Asymptotic Theory of GARCH Estimation," Working Papers 2008-03, Center for Research in Economics and Statistics.
    30. Nakatsuma, Teruo, 2000. "Bayesian analysis of ARMA-GARCH models: A Markov chain sampling approach," Journal of Econometrics, Elsevier, vol. 95(1), pages 57-69, March.
    31. Oscar Andrés Espinosa Acuna & Paola Andrea Vaca González, 2017. "Ajuste de modelos garch clásico y bayesiano con innovaciones t—student para el índice COLCAP," Revista de Economía del Caribe 17172, Universidad del Norte.
    32. Teruo Nakatsuma & Hiroki Tsurumi, 1996. "ARMA-GARCH Models: Bayes Estimation Versus MLE, and Bayes Non-stationarity Test," Departmental Working Papers 199619, Rutgers University, Department of Economics.
    33. Brownlees Christian T. & Vannucci Marina, 2013. "A Bayesian approach for capturing daily heterogeneity in intra-daily durations time series," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 17(1), pages 21-46, February.
    34. Xiaobing Zheng & Kun Liang & Qiang Xia & Dabin Zhang, 2022. "Best Subset Selection for Double-Threshold-Variable Autoregressive Moving-Average Models: The Bayesian Approach," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 1175-1201, March.
    35. Gael M. Martin & David T. Frazier & Christian P. Robert, 2020. "Computing Bayes: Bayesian Computation from 1763 to the 21st Century," Monash Econometrics and Business Statistics Working Papers 14/20, Monash University, Department of Econometrics and Business Statistics.
    36. Jacquier, Eric & Polson, Nicholas G. & Rossi, P.E.Peter E., 2004. "Bayesian analysis of stochastic volatility models with fat-tails and correlated errors," Journal of Econometrics, Elsevier, vol. 122(1), pages 185-212, September.
    37. Teruo Nakatsuma & Hiroki Tsurumi, 1999. "Bayesian Estimation of ARMA-GARCH Model of Weekly Foreign Exchange Rates," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 6(1), pages 71-84, January.
    38. Tim Bollerslev & Ray Y. Chou & Narayanan Jayaraman & Kenneth F. Kroner - L, 1991. "es modéles ARCH en finance : un point sur la théorie et les résultats empiriques," Annals of Economics and Statistics, GENES, issue 24, pages 1-59.
    39. Degiannakis, Stavros & Xekalaki, Evdokia, 2004. "Autoregressive Conditional Heteroskedasticity (ARCH) Models: A Review," MPRA Paper 80487, University Library of Munich, Germany.
    40. Oscar Andrés Espinosa Acuna & Paola Andrea Vaca González, 2017. "Ajuste de modelos garch clásico y bayesiano con innovaciones t—student para el índice COLCAP," Revista de Economía del Caribe 17147, Universidad del Norte.
    41. Osiewalski, Jacek & Pipien, Mateusz, 2004. "Bayesian comparison of bivariate ARCH-type models for the main exchange rates in Poland," Journal of Econometrics, Elsevier, vol. 123(2), pages 371-391, December.
    42. Kleibergen, F.R. & Paap, R., 1996. "Priors, Posterior Odds and Lagrange Multiplier Statistics in Bayesian Analyses of Cointegration," Econometric Institute Research Papers EI 9668-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    43. Liu, Xiaochun & Luger, Richard, 2015. "Unfolded GARCH models," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 186-217.

  39. Geweke, John, 1989. "Bayesian Inference in Econometric Models Using Monte Carlo Integration," Econometrica, Econometric Society, vol. 57(6), pages 1317-1339, November.

    Cited by:

    1. John Geweke, 1992. "Priors for macroeconomic time series and their application," Discussion Paper / Institute for Empirical Macroeconomics 64, Federal Reserve Bank of Minneapolis.
    2. Bryan S. Graham & Andrin Pelican, 2023. "Scenario Sampling for Large Supermodular Games," Papers 2307.11857, arXiv.org.
    3. Salmeron, Antonio & Cano, Andres & Moral, Serafin, 2000. "Importance sampling in Bayesian networks using probability trees," Computational Statistics & Data Analysis, Elsevier, vol. 34(4), pages 387-413, October.
    4. Voicu, Alexandru, 2005. "Employment dynamics in the Romanian labor market. A Markov chain Monte Carlo approach," Journal of Comparative Economics, Elsevier, vol. 33(3), pages 604-639, September.
    5. Koopman, Siem Jan & Lucas, André, 2008. "A Non-Gaussian Panel Time Series Model for Estimating and Decomposing Default Risk," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 510-525.
    6. Siem Jan Koopman & Rutger Lit & Andre Lucas, 2015. "Intraday Stochastic Volatility in Discrete Price Changes: the Dynamic Skellam Model," Tinbergen Institute Discussion Papers 15-076/IV/DSF94, Tinbergen Institute.
    7. Koopman, Siem Jan & Shephard, Neil & Creal, Drew, 2009. "Testing the assumptions behind importance sampling," Journal of Econometrics, Elsevier, vol. 149(1), pages 2-11, April.
    8. Eric Jacquier & Robert Jarrow, 1996. "Model Error in Contingent Claim Models Dynamic Evaluation," CIRANO Working Papers 96s-12, CIRANO.
    9. Hajivassiliou, Vassilis A. & Ruud, Paul A., 1986. "Classical estimation methods for LDV models using simulation," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 40, pages 2383-2441, Elsevier.
    10. Eduardo Ley & Mark F.J. Steel, 1995. "On the Estimation of Demand Systems Through Consumption Efficiency," Econometrics 9503001, University Library of Munich, Germany, revised 22 Feb 1996.
    11. Susanne Schennach & James Heckman & Flavio Cunha, 2007. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," 2007 Meeting Papers 973, Society for Economic Dynamics.
    12. Arnaud Dufays, 2014. "On the conjugacy of off-line and on-line Sequential Monte Carlo Samplers," Working Paper Research 263, National Bank of Belgium.
    13. Koop, G. & Ley, E. & Osiewalski, J. & Steel, M. F. J., 1997. "Bayesian analysis of long memory and persistence using ARFIMA models," LIDAM Reprints CORE 1246, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    14. Sofia Anyfantaki & Antonis Demos, 2012. "Estimation and Properties of a Time-Varying EGARCH(1,1) in Mean Model," DEOS Working Papers 1228, Athens University of Economics and Business.
    15. Siem Jan Koopman & Geert Mesters, 2014. "Empirical Bayes Methods for Dynamic Factor Models," Tinbergen Institute Discussion Papers 14-061/III, Tinbergen Institute.
    16. Jenkins, Amanda & Velandia, Margarita & Lambert, Dayton M. & Roberts, Roland K. & Larson, James A. & English, Burton C. & Martin, Steven W., 2011. "Factors Influencing the Selection of Precision Farming Information Sources by Cotton Producers," Agricultural and Resource Economics Review, Cambridge University Press, vol. 40(2), pages 307-320, September.
    17. Bernd Schwaab & Siem Jan Koopman & André Lucas, 2017. "Global Credit Risk: World, Country and Industry Factors," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 296-317, March.
    18. Bhattacharya, Sourabh, 2008. "Consistent estimation of the accuracy of importance sampling using regenerative simulation," Statistics & Probability Letters, Elsevier, vol. 78(15), pages 2522-2527, October.
    19. Tallman, Ellis W. & Zaman, Saeed, 2020. "Combining survey long-run forecasts and nowcasts with BVAR forecasts using relative entropy," International Journal of Forecasting, Elsevier, vol. 36(2), pages 373-398.
    20. Fernandez-Cornejo, Jorge & Wechsler, Seth James, 2012. "Fifteen Years Later: Examining the Adoption of Bt Corn Varieties by U.S. Farmers," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124257, Agricultural and Applied Economics Association.
    21. Geweke, John & Keane, Michael, 2000. "An empirical analysis of earnings dynamics among men in the PSID: 1968-1989," Journal of Econometrics, Elsevier, vol. 96(2), pages 293-356, June.
    22. Tomasz Wozniak, 2015. "Granger-causal analysis of GARCH models: a Bayesian approach," Department of Economics - Working Papers Series 1194, The University of Melbourne.
    23. Wang, Zhenyu, 1998. "Efficiency loss and constraints on portfolio holdings," Journal of Financial Economics, Elsevier, vol. 48(3), pages 359-375, June.
    24. Uhlig, H.F.H.V.S., 1996. "Bayesian Vector Autoregressions with Stochastic Volatility," Discussion Paper 1996-09, Tilburg University, Center for Economic Research.
    25. Malik, Sheheryar & Pitt, Michael K., 2011. "Particle filters for continuous likelihood evaluation and maximisation," Journal of Econometrics, Elsevier, vol. 165(2), pages 190-209.
    26. Bauwens, Luc & Carpantier, Jean-François & Dufays, Arnaud, 2015. "Autoregressive moving average infinite hidden markov-switching models," LIDAM Discussion Papers CORE 2015007, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    27. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
    28. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2006. "Volatility and Correlation Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 15, pages 777-878, Elsevier.
    29. Ou Yang & Xueyan Zhao & Preety Srivastava, 2015. "Binge Drinking, Antisocial and Unlawful Behaviours, and Beverage Types," Melbourne Institute Working Paper Series wp2015n03, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    30. Arimura, Toshi & Hibiki, Akira & Katayama, Hajime, 2007. "Is a Voluntary Approach an Effective Environmental Policy Instrument? A Case for Environmental Management Systems," RFF Working Paper Series dp-07-31, Resources for the Future.
    31. Geert Mesters & Siem Jan Koopman & Marius Ooms, 2011. "Monte Carlo Maximum Likelihood Estimation for Generalized Long-Memory Time Series Models," Tinbergen Institute Discussion Papers 11-090/4, Tinbergen Institute.
    32. Dong Heon Kim, 2010. "What is an oil shock? Panel data evidence," Discussion Paper Series 1007, Institute of Economic Research, Korea University.
    33. L W Hepple, 1995. "Bayesian Techniques in Spatial and Network Econometrics: 2. Computational Methods and Algorithms," Environment and Planning A, , vol. 27(4), pages 615-644, April.
    34. Fok, D. & Franses, Ph.H.B.F., 2005. "Modeling the diffusion of scientific publications," Econometric Institute Research Papers EI 2005-48, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    35. Morten Olsen & David Hemous, 2014. "The Rise of the Machines: Automation, Horizontal Innovation and Income Inequality," 2014 Meeting Papers 162, Society for Economic Dynamics.
    36. Otrok, Christopher, 2001. "On measuring the welfare cost of business cycles," Journal of Monetary Economics, Elsevier, vol. 47(1), pages 61-92, February.
    37. Teodora Boneva & Marta Golin & Katja Kaufmann & Christopher Rauh & Katja Maria Kaufmann, 2022. "Beliefs about Maternal Labor Supply," CESifo Working Paper Series 10148, CESifo.
    38. Mengheng Li & Siem Jan Koopman, 2021. "Unobserved components with stochastic volatility: Simulation‐based estimation and signal extraction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(5), pages 614-627, August.
    39. Dimitris Christelis & Raquel Fonseca, 2015. "Labor Market Policies and Self-Employment Transitions of Older Workers," CIRANO Working Papers 2015s-50, CIRANO.
    40. Vijaya Sundararajan & Ou Yang & Jongsay Yong, 2023. "Socioeconomic status and access to care in a universal healthcare system: The case of acute myocardial infarction in Australia," Melbourne Institute Working Paper Series wp2023n10, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    41. Christian Brinch, 2012. "Efficient simulated maximum likelihood estimation through explicitly parameter dependent importance sampling," Computational Statistics, Springer, vol. 27(1), pages 13-28, March.
    42. Robert Weiss, 1994. "Pediatric Pain, Predictive Inference, and Sensitivity Analysis," Evaluation Review, , vol. 18(6), pages 651-677, December.
    43. Anjana Susarla, 2012. "Contractual Flexibility, Rent Seeking, and Renegotiation Design: An Empirical Analysis of Information Technology Outsourcing Contracts," Management Science, INFORMS, vol. 58(7), pages 1388-1407, July.
    44. Liesenfeld, Roman, 2001. "A generalized bivariate mixture model for stock price volatility and trading volume," Journal of Econometrics, Elsevier, vol. 104(1), pages 141-178, August.
    45. Kleibergen, F.R. & van Dijk, H.K., 1997. "Bayesian Simultaneous Equations Analysis using Reduced Rank Structures," Econometric Institute Research Papers EI 9714/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    46. Geert Mesters & Siem Jan Koopman, 2012. "Generalized Dynamic Panel Data Models with Random Effects for Cross-Section and Time," Tinbergen Institute Discussion Papers 12-009/4, Tinbergen Institute, revised 18 Mar 2014.
    47. Guay, François & Schwenkler, Gustavo, 2021. "Efficient estimation and filtering for multivariate jump–diffusions," Journal of Econometrics, Elsevier, vol. 223(1), pages 251-275.
    48. Zhou, Guofu, 1995. "Small sample rank tests with applications to asset pricing," Journal of Empirical Finance, Elsevier, vol. 2(1), pages 71-93, March.
    49. Jeroen V.K. Rombouts & Lars Stentoft, 2009. "Bayesian Option Pricing Using Mixed Normal Heteroskedasticity Models," CREATES Research Papers 2009-07, Department of Economics and Business Economics, Aarhus University.
    50. Tsionas, Mike G. & Izzeldin, Marwan & Trapani, Lorenzo, 2022. "Estimation of large dimensional time varying VARs using copulas," European Economic Review, Elsevier, vol. 141(C).
    51. Lennon, Hannah & Yuan, Jingsong, 2019. "Estimation of a digitised Gaussian ARMA model by Monte Carlo Expectation Maximisation," Computational Statistics & Data Analysis, Elsevier, vol. 133(C), pages 277-284.
    52. Edward P. Herbst & Frank Schorfheide, 2013. "Sequential Monte Carlo Sampling for DSGE Models," NBER Working Papers 19152, National Bureau of Economic Research, Inc.
    53. Hottenrott, Hanna & Peters, Bettina, 2009. "Innovative capability and financing constraints for innovation: More money, more innovation?," ZEW Discussion Papers 09-081, ZEW - Leibniz Centre for European Economic Research.
    54. Allen, W. David, 2009. "Interview effects in the reporting of domestic violence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 38(2), pages 288-300, March.
    55. Conti, Gabriella & Frühwirth-Schnatter, Sylvia & Heckman, James J. & Piatek, Rémi, 2014. "Bayesian Exploratory Factor Analysis," IZA Discussion Papers 8338, Institute of Labor Economics (IZA).
    56. Bauwens, Luc & Bos, Charles S. & van Dijk, Herman K. & van Oest, Rutger D., 2004. "Adaptive radial-based direction sampling: some flexible and robust Monte Carlo integration methods," Journal of Econometrics, Elsevier, vol. 123(2), pages 201-225, December.
    57. Gholamreza Hajargasht & D.S. Prasada Rao, 2019. "Multilateral Index Number Systems for International Price Comparisons: Properties, Existence and Uniqueness," CEPA Working Papers Series WP032019, School of Economics, University of Queensland, Australia.
    58. DeJong, D.N. & Ingram, B.F. & Whiteman, C.H., 1995. "Keynes vs. Prescott and Solow: Identifying Sources of Business Cycle Fluctuations," Working Papers 95-06, University of Iowa, Department of Economics.
    59. Charles S. Bos & Neil Shephard, 2004. "Inference for Adaptive Time Series Models: Stochastic Volatility and Conditionally Gaussian State Space Form," Economics Papers 2004-W02, Economics Group, Nuffield College, University of Oxford.
    60. Bryan S. Graham & Andrin Pelican, 2023. "Scenario sampling for large supermodular games," CeMMAP working papers 15/23, Institute for Fiscal Studies.
    61. Joshua C.C. Chan & Rodney Strachan, 2014. "The Zero Lower Bound: Implications for Modelling the Interest Rate," Working Paper series 42_14, Rimini Centre for Economic Analysis.
    62. Siem Jan Koopman & Rutger Lit, 2015. "A dynamic bivariate Poisson model for analysing and forecasting match results in the English Premier League," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(1), pages 167-186, January.
    63. McCAUSLAND, William, 2008. "The Hessian Method (Highly Efficient State Smoothing, In a Nutshell)," Cahiers de recherche 2008-03, Universite de Montreal, Departement de sciences economiques.
    64. Lahiri, Kajal & Gao, Jian, 2002. "Bayesian analysis of nested logit model by Markov chain Monte Carlo," Journal of Econometrics, Elsevier, vol. 111(1), pages 103-133, November.
    65. Cranfield, John A.L. & Preckel, Paul V. & Liu, Songquan, 1997. "Approximating Bayesian Posteriors using Multivariate Gaussian Quadrature," 1997 Annual Meeting, July 13-16, 1997, Reno\ Sparks, Nevada 35791, Western Agricultural Economics Association.
    66. Steel, M.F.J., 1991. "Bayesian inference in time series," Discussion Paper 1991-53, Tilburg University, Center for Economic Research.
    67. Robertson, John C & Tallman, Ellis W & Whiteman, Charles H, 2005. "Forecasting Using Relative Entropy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 37(3), pages 383-401, June.
    68. Khazri, Afifa, 1999. "Contrats salariaux, rétention de main-d’œuvre et cycle économique [Wage Contracts, Labor Retention and Economic Cycle]," MPRA Paper 86755, University Library of Munich, Germany.
    69. Dimitrios Christelis & Dimitris Georgarakos & Michael Haliassos, 2009. "Stockholding: From Participation to Location and to Participation Spillovers," CSEF Working Papers 230, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    70. Dimitris Korobilis & Davide Pettenuzzo, 2020. "Machine Learning Econometrics: Bayesian algorithms and methods," Working Papers 130, Brandeis University, Department of Economics and International Business School.
    71. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2007. "Estimating Macroeconomic Models: A Likelihood Approach," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 74(4), pages 1059-1087.
    72. Shea, Paul, 2008. "Real-time rational expectations and indeterminacy," Economics Letters, Elsevier, vol. 99(3), pages 530-533, June.
    73. van Dijk, H.K., 2002. "On Bayesian structural inference in a simultaneous equation model," Econometric Institute Research Papers EI 2002-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    74. David Ardia & Lennart F. Hoogerheide & Herman K. van Dijk, 2008. "Adaptive Mixture of Student-t distributions as a Flexible Candidate Distribution for Efficient Simulation: the R Package AdMit," Tinbergen Institute Discussion Papers 08-062/4, Tinbergen Institute, revised 15 Dec 2008.
    75. Vitaliy Roud & Valeriya Vlasova, 2016. "Firm-Level Evidence on the Cooperative Innovation Strategies in Russian Manufacturing," HSE Working papers WP BRP 63/STI/2016, National Research University Higher School of Economics.
    76. HOOGERHEIDE, Lennart F. & KAASHOEK, Johan F. & van DIJK, Herman K., 2007. "On the shape of posterior densities and credible sets in instrumental variable regression models with reduced rank: an application of flexible sampling methods using neural networks," LIDAM Reprints CORE 1922, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    77. Shiko Maruyama, 2009. "Estimating Sequential-move Games by a Recursive Conditioning Simulator," Discussion Papers 2009-01, School of Economics, The University of New South Wales.
    78. Villani, Mattias, 2005. "Bayesian Inference of General Linear Restrictions on the Cointegration Space," Working Paper Series 189, Sveriges Riksbank (Central Bank of Sweden).
    79. Shanken, Jay & Tamayo, Ane, 2012. "Payout yield, risk, and mispricing: A Bayesian analysis," Journal of Financial Economics, Elsevier, vol. 105(1), pages 131-152.
    80. Ricardo Reis & Vasco Curdia, 2009. "Correlated Disturbances and U.S. Business Cycles," 2009 Meeting Papers 129, Society for Economic Dynamics.
    81. Siem Jan Koopman & Eugenie Hol Uspensky, 2002. "The stochastic volatility in mean model: empirical evidence from international stock markets," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(6), pages 667-689.
    82. Amisano, Gianni & Geweke, John, 2007. "Hierarchical Markov normal mixture models with applications to financial asset returns," Working Paper Series 831, European Central Bank.
    83. Kleppe, Tore Selland & Liesenfeld, Roman, 2011. "Efficient high-dimensional importance sampling in mixture frameworks," Economics Working Papers 2011-11, Christian-Albrechts-University of Kiel, Department of Economics.
    84. Boneva, T. & Kaufmann, K. & Rauh, C., 2021. "Maternal Labor Supply: Perceived Returns, Constraints, and Social Norms," Cambridge Working Papers in Economics 2138, Faculty of Economics, University of Cambridge.
    85. Canova, Fabio & Marrinan, Jane, 1995. "Predicting excess returns in financial markets," European Economic Review, Elsevier, vol. 39(1), pages 35-69, January.
    86. Woźniak, Tomasz, 2015. "Testing causality between two vectors in multivariate GARCH models," International Journal of Forecasting, Elsevier, vol. 31(3), pages 876-894.
    87. Kleibergen, F.R. & Hoek, H., 1995. "Bayesian Analysis of ARMA models using Noninformative Priors," Econometric Institute Research Papers EI 9553-/B, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    88. T. Berger & B. Kempa & -, 2010. "Taylor rules and the Canadian-US equilibrium exchange rate," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 10/643, Ghent University, Faculty of Economics and Business Administration.
    89. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    90. Sandor, Zsolt & Andras, P.Peter, 2004. "Alternative sampling methods for estimating multivariate normal probabilities," Journal of Econometrics, Elsevier, vol. 120(2), pages 207-234, June.
    91. Ardia, David & Baştürk, Nalan & Hoogerheide, Lennart & van Dijk, Herman K., 2012. "A comparative study of Monte Carlo methods for efficient evaluation of marginal likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3398-3414.
    92. Scharth, Marcel & Kohn, Robert, 2016. "Particle efficient importance sampling," Journal of Econometrics, Elsevier, vol. 190(1), pages 133-147.
    93. Borus Jungbacker & Siem Jan Koopman, 2005. "On Importance Sampling for State Space Models," Tinbergen Institute Discussion Papers 05-117/4, Tinbergen Institute.
    94. Arnaud Dufays, 2015. "Evolutionary Sequential Monte Carlo Samplers for Change-point Models," Cahiers de recherche 1518, CIRPEE.
    95. Mengheng Li & Ivan Mendieta-Muñoz, 2019. "Are long-run output growth rates falling?," Working Papers 2019.07, International Network for Economic Research - INFER.
    96. Ryan, Elizabeth G. & Drovandi, Christopher C. & Pettitt, Anthony N., 2015. "Simulation-based fully Bayesian experimental design for mixed effects models," Computational Statistics & Data Analysis, Elsevier, vol. 92(C), pages 26-39.
    97. Otello Ardovino & Luca Pennacchio & Giuseppe Piroli, 2014. "Direct and indirect effects of R&D cooperation on the innovation of Italian firms," EERI Research Paper Series EERI RP 2014/03, Economics and Econometrics Research Institute (EERI), Brussels.
    98. Sugita, Katsuhiro, 2002. "Testing For Cointegration Rank Using Bayes Factors," The Warwick Economics Research Paper Series (TWERPS) 654, University of Warwick, Department of Economics.
    99. Creal, D., 2009. "A survey of sequential Monte Carlo methods for economics and finance," Serie Research Memoranda 0018, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    100. Steel, M.F.J. & Richard, J., 1989. "Bayesian multivariate exogeneity analysis : An application to a UK money demand equation," Other publications TiSEM 2978b800-0592-4480-a5db-3, Tilburg University, School of Economics and Management.
    101. Hielke Buddelmeyer & Kenneth Troske, 2004. "Joint estimation of sequential labor force participation and fertility decisions using Markov chain Monte Carlo techniques," Econometric Society 2004 North American Winter Meetings 334, Econometric Society.
    102. Arimura, Toshi H. & Darnall, Nicole & Katayama, Hajime, 2011. "Is ISO 14001 a gateway to more advanced voluntary action? The case of green supply chain management," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 170-182, March.
    103. Gael M. Martin & David T. Frazier & Worapree Maneesoonthorn & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2022. "Bayesian Forecasting in Economics and Finance: A Modern Review," Papers 2212.03471, arXiv.org, revised Jul 2023.
    104. Tanizaki, Hisashi, 1997. "Nonlinear and nonnormal filters using Monte Carlo methods," Computational Statistics & Data Analysis, Elsevier, vol. 25(4), pages 417-439, September.
    105. Elmar Mertens & James M. Nason, 2020. "Inflation and professional forecast dynamics: An evaluation of stickiness, persistence, and volatility," Quantitative Economics, Econometric Society, vol. 11(4), pages 1485-1520, November.
    106. Geweke, John & Zhou, Guofu, 1996. "Measuring the Pricing Error of the Arbitrage Pricing Theory," The Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 557-587.
    107. Francis X. Diebold & Jose A. Lopez, 1995. "Measuring Volatility Dynamics," NBER Technical Working Papers 0173, National Bureau of Economic Research, Inc.
    108. David Ardia & Lennart F. Hoogerheide, 2010. "Efficient Bayesian Estimation and Combination of GARCH-Type Models," Tinbergen Institute Discussion Papers 10-046/4, Tinbergen Institute.
    109. Santiago Pereda Fernández, 2016. "Copula-based random effects models for clustered data," Temi di discussione (Economic working papers) 1092, Bank of Italy, Economic Research and International Relations Area.
    110. Gael M. Martin & David T. Frazier & Ruben Loaiza-Maya & Florian Huber & Gary Koop & John Maheu & Didier Nibbering & Anastasios Panagiotelis, 2023. "Bayesian Forecasting in the 21st Century: A Modern Review," Monash Econometrics and Business Statistics Working Papers 1/23, Monash University, Department of Econometrics and Business Statistics.
    111. Lai, Hung-pin & Kumbhakar, Subal C., 2018. "Estimation of Dynamic Stochastic Frontier Model using Likelihood-based Approaches," MPRA Paper 87830, University Library of Munich, Germany.
    112. Sándor, Z. & András, P., 2003. "Alternate Samplingmethods for Estimating Multivariate Normal Probabilities," Econometric Institute Research Papers EI 2003-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    113. Giulia Bettin & Riccardo Lucchetti, 2016. "Steady streams and sudden bursts: persistence patterns in remittance decisions," Journal of Population Economics, Springer;European Society for Population Economics, vol. 29(1), pages 263-292, January.
    114. Liesenfeld, Roman & Richard, Jean-François, 2004. "Classical and Bayesian Analysis of Univariate and Multivariate Stochastic Volatility Models," Economics Working Papers 2004-12, Christian-Albrechts-University of Kiel, Department of Economics.
    115. Uhlig, H.F.H.V.S., 1996. "Bayesian Vector Autoregressions with Stochastic Volatility," Other publications TiSEM 4fd55395-6830-46a2-9d18-e, Tilburg University, School of Economics and Management.
    116. Maarten Dossche & Gerdie Everaert, 2005. "Measuring inflation persistence: A structural time series approach," Money Macro and Finance (MMF) Research Group Conference 2005 85, Money Macro and Finance Research Group.
    117. David Revelt and Kenneth Train., 2000. "Customer-Specific Taste Parameters and Mixed Logit: Households' Choice of Electricity Supplier," Economics Working Papers E00-274, University of California at Berkeley.
    118. Mark Dwyer, 1998. "Impulse Response Priors for Discriminating Structural Vector Autoregressions," UCLA Economics Working Papers 780, UCLA Department of Economics.
    119. Abmann, Christian & Henning, Christian H.C.A. & Krampe, Eva, 2012. "Constitutional Rules, Informal Institutions and Agricultural Protection in Developing and Industrial Countries: Theory and Empirical Evidence," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124885, Agricultural and Applied Economics Association.
    120. Rejesus, Roderick M. & Mutuc-Hensley, Maria & Mitchell, Paul D. & Coble, Keith H. & Knight, Thomas O., 2013. "U.S. Agricultural Producer Perceptions of Climate Change," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 45(4), pages 701-718, November.
    121. Nalan Baştürk & Stefano Grassi & Lennart Hoogerheide & Herman K. Van Dijk, 2016. "Parallelization Experience with Four Canonical Econometric Models Using ParMitISEM," Econometrics, MDPI, vol. 4(1), pages 1-20, March.
    122. José María Moreno-Jiménez & Manuel Salvador & Pilar Gargallo & Alfredo Altuzarra, 2016. "Systemic decision making in AHP: a Bayesian approach," Annals of Operations Research, Springer, vol. 245(1), pages 261-284, October.
    123. John Geweke, 1995. "Bayesian reduced rank regression in econometrics," Working Papers 540, Federal Reserve Bank of Minneapolis.
    124. Siem Jan Koopman & Charles S. Bos, 2002. "Time Series Models with a Common Stochastic Variance for Analysing Economic Time Series," Tinbergen Institute Discussion Papers 02-113/4, Tinbergen Institute.
    125. Agbeyegbe, Terence D., 2020. "Bayesian analysis of output gap in Barbados," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 1(1).
    126. Jesús Fernández-Villaverde & Juan F. Rubio-Ramírez, 2008. "How Structural Are Structural Parameters?," NBER Chapters, in: NBER Macroeconomics Annual 2007, Volume 22, pages 83-137, National Bureau of Economic Research, Inc.
    127. Holloway, Garth J. & Hertel, Thomas W., 1991. "Comparing Hypotheses About Competition," Working Papers 225867, University of California, Davis, Department of Agricultural and Resource Economics.
    128. Vijverberg, Wim P. M., 1996. "Monte Carlo evaluation of multivariate Student's t probabilities," Economics Letters, Elsevier, vol. 52(1), pages 1-6, July.
    129. Lucchetti, Riccardo & Pigini, Claudia, 2017. "DPB: Dynamic Panel Binary Data Models in gretl," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 79(i08).
    130. Christis Katsouris, 2023. "High Dimensional Time Series Regression Models: Applications to Statistical Learning Methods," Papers 2308.16192, arXiv.org.
    131. DeJong, David N. & Ingram, Beth F. & Whiteman, Charles H., 2000. "A Bayesian approach to dynamic macroeconomics," Journal of Econometrics, Elsevier, vol. 98(2), pages 203-223, October.
    132. Tanizaki, Hisashi & Mariano, Roberto S., 1998. "Nonlinear and non-Gaussian state-space modeling with Monte Carlo simulations," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 263-290.
    133. Baştürk, N. & Grassi, S. & Hoogerheide, L. & Opschoor, A. & van Dijk, H.K., 2015. "The R package MitISEM : efficient and robust simulation procedures for Bayesian inference," Research Memorandum 011, Maastricht University, Graduate School of Business and Economics (GSBE).
    134. Leluc, Rémi & Portier, François & Segers, Johan & Zhuman, Aigerim, 2022. "A Quadrature Rule combining Control Variates and Adaptive Importance Sampling," LIDAM Discussion Papers ISBA 2022018, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    135. Hoogerheide, Lennart & Opschoor, Anne & van Dijk, Herman K., 2012. "A class of adaptive importance sampling weighted EM algorithms for efficient and robust posterior and predictive simulation," Journal of Econometrics, Elsevier, vol. 171(2), pages 101-120.
    136. Jiti Gao & Han Hong, 2014. "Nonparametric Regression Approach to Bayesian Estimation," Monash Econometrics and Business Statistics Working Papers 25/14, Monash University, Department of Econometrics and Business Statistics.
    137. Kleppe, Tore Selland & Liesenfeld, Roman, 2014. "Efficient importance sampling in mixture frameworks," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 449-463.
    138. Zha, Tao, 1999. "Block recursion and structural vector autoregressions," Journal of Econometrics, Elsevier, vol. 90(2), pages 291-316, June.
    139. Jay Shanken & Ane Tamayo, 2001. "Risk, Mispricing, and Asset Allocation: Conditioning on Dividend Yield," NBER Working Papers 8666, National Bureau of Economic Research, Inc.
    140. Gordon, S. & Belanger, G., 1995. "Echantillonnage de Gibbs et autres application econometriques des chaines merkoviennes," Papers 9509, Laval - Recherche en Politique Economique.
    141. Berlingieri, Francesco & Zierahn, Ulrich, 2014. "Field of study, qualification mismatch, and wages: Does sorting matter?," ZEW Discussion Papers 14-076, ZEW - Leibniz Centre for European Economic Research.
    142. Rendon, Silvio, 2012. "A Discrete Choice Approach to Estimating Armed Conflicts' Casualties: Revisiting the Numbers of a 'Truth Commission'," IZA Discussion Papers 6827, Institute of Labor Economics (IZA).
    143. Liesenfeld, Roman & Richard, Jean-François, 2008. "Improving MCMC, using efficient importance sampling," Computational Statistics & Data Analysis, Elsevier, vol. 53(2), pages 272-288, December.
    144. Vincenzo Atella & Alberto Holly & Alessandro Mistretta, 2016. "Disentangling Adverse Selection, Moral Hazard and Supply Induced Demand: An Empirical Analysis of The Demand For Healthcare Services," CEIS Research Paper 389, Tor Vergata University, CEIS, revised 31 Oct 2018.
    145. Maksym, Obrizan, 2010. "A Bayesian Model of Sample Selection with a Discrete Outcome Variable," MPRA Paper 28577, University Library of Munich, Germany.
    146. Sun, Libo & Lee, Chihoon & Hoeting, Jennifer A., 2015. "A penalized simulated maximum likelihood approach in parameter estimation for stochastic differential equations," Computational Statistics & Data Analysis, Elsevier, vol. 84(C), pages 54-67.
    147. Andersen, Torben G. & Bollerslev, Tim & Christoffersen, Peter F. & Diebold, Francis X., 2005. "Volatility forecasting," CFS Working Paper Series 2005/08, Center for Financial Studies (CFS).
    148. Ueckert, Sebastian & Mentré, France, 2017. "A new method for evaluation of the Fisher information matrix for discrete mixed effect models using Monte Carlo sampling and adaptive Gaussian quadrature," Computational Statistics & Data Analysis, Elsevier, vol. 111(C), pages 203-219.
    149. Fabio Canova & Eva Ortega, 1996. "Testing calibrated general equilibrium models," Economics Working Papers 166, Department of Economics and Business, Universitat Pompeu Fabra.
    150. Kline, Patrick & Walters, Christopher, 2014. "Evaluating Public Programs with Close Substitutes: The Case of Head Start," Institute for Research on Labor and Employment, Working Paper Series qt43s9211b, Institute of Industrial Relations, UC Berkeley.
    151. Bollerslev, Tim & Engle, Robert F. & Nelson, Daniel B., 1986. "Arch models," Handbook of Econometrics, in: R. F. Engle & D. McFadden (ed.), Handbook of Econometrics, edition 1, volume 4, chapter 49, pages 2959-3038, Elsevier.
    152. Jean-Francois Richard & Roman Liesenfeld, 2007. "Classical and Bayesian Analysis of Univariate and Multivariate Stochastic Volatility Models," Working Paper 322, Department of Economics, University of Pittsburgh, revised Jan 2004.
    153. John Geweke, 1998. "Using simulation methods for Bayesian econometric models: inference, development, and communication," Staff Report 249, Federal Reserve Bank of Minneapolis.
    154. Romeo, Charles J., 1997. "Measuring information loss due to inconsistencies in duration data from longitudinal surveys," Journal of Econometrics, Elsevier, vol. 78(2), pages 159-177, June.
    155. Goldman Elena & Tsurumi Hiroki, 2005. "Bayesian Analysis of a Doubly Truncated ARMA-GARCH Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(2), pages 1-38, June.
    156. Voicu, Alexandru & Buddelmeyer, Hielke, 2003. "Children and Women's Participation Dynamics: Transitory and Long-Term Effects," IZA Discussion Papers 729, Institute of Labor Economics (IZA).
    157. Hauptmeier, Sebastian & Cimadomo, Jacopo & Kirchner, Markus, 2010. "Transmission of government spending shocks in the euro area: Time variation and driving forces," Working Paper Series 1219, European Central Bank.
    158. Peter Muller & Giovanni Parmigiani & Joellen Schildkraut & Luca Tardella, 1999. "A Bayesian Hierarchical Approach for Combining Case-Control and Prospective Studies," Biometrics, The International Biometric Society, vol. 55(3), pages 858-866, September.
    159. Lennart Hoogerheide & Anne Opschoor & Herman K. van Dijk, 2011. "A Class of Adaptive EM-based Importance Sampling Algorithms for Efficient and Robust Posterior and Predictive Simulation," Tinbergen Institute Discussion Papers 11-004/4, Tinbergen Institute.
    160. Cristina Fuentes-Albero & Leonardo Melosi, 2011. "Methods for Computing Marginal Data Densities from the Gibbs Output," Departmental Working Papers 201131, Rutgers University, Department of Economics.
    161. Martin Bruns & Michele Piffer, 2018. "Bayesian Structural VAR models: a new approach for prior beliefs on impulse responses," Working Papers 878, Queen Mary University of London, School of Economics and Finance.
    162. Sugita, Katsuhiro, 2002. "Testing for Cointegration Rank Using Bayes Factors," Economic Research Papers 269467, University of Warwick - Department of Economics.
    163. Steve Bradley & Rob Crouchley, 2020. "The effects of test scores and truancy on youth unemployment and inactivity: a simultaneous equations approach," Empirical Economics, Springer, vol. 59(4), pages 1799-1831, October.
    164. Markku Lanne & Jani Luoto, 2015. "Estimation of DSGE Models under Diffuse Priors and Data-Driven Identification Constraints," CREATES Research Papers 2015-37, Department of Economics and Business Economics, Aarhus University.
    165. Xu, Kecheng & Davidson, Rachel A. & Nozick, Linda K. & Wachtendorf, Tricia & DeYoung, Sarah E., 2016. "Hurricane evacuation demand models with a focus on use for prediction in future events," Transportation Research Part A: Policy and Practice, Elsevier, vol. 87(C), pages 90-101.
    166. Caterina Conigliani, 2008. "A bayesian model averaging approach with non-informative priors for cost-effectiveness analyses in health economics," Departmental Working Papers of Economics - University 'Roma Tre' 0094, Department of Economics - University Roma Tre.
    167. James Sampi, 2016. "High Dimensional Factor Models: An Empirical Bayes Approach," Working Papers 75, Peruvian Economic Association.
    168. Chib, Siddhartha & Greenberg, Edward, 1996. "Markov Chain Monte Carlo Simulation Methods in Econometrics," Econometric Theory, Cambridge University Press, vol. 12(3), pages 409-431, August.
    169. Enrique Martínez García & Mark A. Wynne, 2014. "Assessing Bayesian model comparison in small samples," Globalization Institute Working Papers 189, Federal Reserve Bank of Dallas.
    170. Chib, Siddhartha, 2004. "Markov Chain Monte Carlo Technology," Papers 2004,22, Humboldt University of Berlin, Center for Applied Statistics and Economics (CASE).
    171. JongRoul Woo & HyungBin Moon & Jongsu Lee & Jinyong Jang, 2017. "Public attitudes toward the construction of new power plants in South Korea," Energy & Environment, , vol. 28(4), pages 499-517, June.
    172. Siem Jan Koopman & Rutger Lit & Thuy Minh Nguyen, 2012. "Fast Efficient Importance Sampling by State Space Methods," Tinbergen Institute Discussion Papers 12-008/4, Tinbergen Institute, revised 16 Oct 2014.
    173. M D Stevenson & J E Oakley & S E Chick & K Chalkidou, 2009. "The cost-effectiveness of surgical instrument management policies to reduce the risk of vCJD transmission to humans," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(4), pages 506-518, April.
    174. Gregor Semieniuk & Ellis Scharfenaker, 2014. "A Bayesian Latent Variable Mixture Model for Filtering Firm Profit Rate," SCEPA working paper series. 2014-1, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    175. Li, Kai & Sarkar, Asani & Wang, Zhenyu, 2003. "Diversification benefits of emerging markets subject to portfolio constraints," Journal of Empirical Finance, Elsevier, vol. 10(1-2), pages 57-80, February.
    176. B. Jungbacker & S.J. Koopman, 2005. "Model-based Measurement of Actual Volatility in High-Frequency Data," Tinbergen Institute Discussion Papers 05-002/4, Tinbergen Institute.
    177. Falk Bräuning & Siem Jan Koopman, 2016. "The dynamic factor network model with an application to global credit risk," Working Papers 16-13, Federal Reserve Bank of Boston.
    178. Aßmann, Christian & Boysen-Hogrefe, Jens & Jannsen, Nils, 2009. "Costs of housing crises: International evidence," Kiel Working Papers 1524, Kiel Institute for the World Economy (IfW Kiel).
    179. Chuku Chuku & Paul Middleditch, 2016. "Characterizing monetary and fiscal policy rules and interactions when commodity prices matter," Centre for Growth and Business Cycle Research Discussion Paper Series 222, Economics, The University of Manchester.
    180. Parfait Munezero, 2022. "Efficient particle smoothing for Bayesian inference in dynamic survival models," Computational Statistics, Springer, vol. 37(2), pages 975-994, April.
    181. James W. Bono & David H. Wolpert, 2009. "How to Use Decision Theory to Choose Among Mechanisms," Working Papers 2009-11, American University, Department of Economics.
    182. Gael M. Martin & David T. Frazier & Christian P. Robert, 2022. "Computing Bayes: From Then `Til Now," Monash Econometrics and Business Statistics Working Papers 14/22, Monash University, Department of Econometrics and Business Statistics.
    183. İsmail Başoğlu & Wolfgang Hörmann & Halis Sak, 2018. "Efficient simulations for a Bernoulli mixture model of portfolio credit risk," Annals of Operations Research, Springer, vol. 260(1), pages 113-128, January.
    184. Davezies, Laurent & D'Haultfoeuille, Xavier & Fougère, Denis, 2006. "Identification of Peer Effects Using Group Size Variation," IZA Discussion Papers 2324, Institute of Labor Economics (IZA).
    185. Ross Doppelt & Keith O'Hara, 2018. "Bayesian Estimation of Fractionally Integrated Vector Autoregressions and an Application to Identified Technology Shocks," 2018 Meeting Papers 1212, Society for Economic Dynamics.
    186. Ilias Tsiakas, 2004. "Analysis of the predictive ability of information accumulated over nights, weekends and holidays," Econometric Society 2004 Australasian Meetings 208, Econometric Society.
    187. Gregor Zens, 2019. "Bayesian shrinkage in mixture-of-experts models: identifying robust determinants of class membership," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 13(4), pages 1019-1051, December.
    188. Agnieszka Borowska & Lennart Hoogerheide & Siem Jan Koopman & Herman van Dijk, 2019. "Partially Censored Posterior for Robust and Efficient Risk Evaluation," Tinbergen Institute Discussion Papers 19-057/III, Tinbergen Institute.
    189. Tino Berger & Bernd Kempa, 2014. "Time-varying equilibrium rates in small open economies: Evidence for Canada," CQE Working Papers 3414, Center for Quantitative Economics (CQE), University of Muenster.
    190. Doemeland,Doerte & Estevão,Marcello & Jooste,Charl & Sampi Bravo,James Robert Ezequiel & Tsiropoulos,Vasileios, 2022. "Debt Vulnerability Analysis : A Multi-Angle Approach," Policy Research Working Paper Series 9929, The World Bank.
    191. Gabriele Fiorentini & Enrique Sentana & Neil Shephard, 2002. "Likelihood-based estimation of latent generalised ARCH structures," Economics Papers 2002-W19, Economics Group, Nuffield College, University of Oxford.
    192. Fernández, C. & Steel, M.F.J., 1996. "On Bayesian Inference under Sampling from Scale Mixtures of Normals," Discussion Paper 1996-02, Tilburg University, Center for Economic Research.
    193. Siddhartha Chib & Edward Greenberg & Rainer Winkelmann, 1996. "Posterior Simulation and Bayes Factors in Panel Count Data Models," Econometrics 9608003, University Library of Munich, Germany, revised 25 Nov 1996.
    194. Richard Gates, 2006. "A Mata Geweke–Hajivassiliou–Keane multivariate normal simulator," Stata Journal, StataCorp LP, vol. 6(2), pages 190-213, June.
    195. Davis, George C., 2001. "Confirmation And Falsification Of Equilibrium Displacement Models," 2001 Annual meeting, August 5-8, Chicago, IL 20525, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    196. Davide Pettenuzzo & Allan G. Timmermann & Rossen I. Valkanov, 2008. "Return Predictability under Equilibrium Constraints on the Equity Premium," Working Papers 37, Brandeis University, Department of Economics and International Business School.
    197. Hoogerheide, L.F. & Kaashoek, J.F. & van Dijk, H.K., 2003. "Neural network approximations to posterior densities: an analytical approach," Econometric Institute Research Papers EI 2003-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    198. Martin Magris & Alexandros Iosifidis, 2023. "Variational Inference for GARCH-family Models," Papers 2310.03435, arXiv.org.
    199. Kandel, S. & McCulloch, R. & Stambaugh, R.F., 1991. "Bayesian Inference and Portfolio Efficiency," Weiss Center Working Papers 8-91, Wharton School - Weiss Center for International Financial Research.
    200. Lieder, Falk & Griffiths, Tom & Hsu, Ming, 2016. "Over-representation of extreme events in decision-making reflects rational use of cognitive resources," OSF Preprints kxxag, Center for Open Science.
    201. Kai Li & Asani Sarkar & Zhenyu Wang, 1999. "Assessing the impact of short-sale constraints on the gains from international diversification," Staff Reports 89, Federal Reserve Bank of New York.
    202. William J. McCausland & A.A.J. Marley, 2013. "Bayesian Inference and Model Comparison for Random Choice Structures," Cahiers de recherche 07-2013, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    203. Spotts, Harlan E. & Weinberger, Marc G. & Assaf, A. George & Weinberger, Michelle F., 2022. "The role of paid media, earned media, and sales promotions in driving marcom sales performance in consumer services," Journal of Business Research, Elsevier, vol. 152(C), pages 387-397.
    204. Liesenfeld, Roman, 1996. "Dynamic bivariate mixture models: Modeling the behavior of prices and trading volume," Tübinger Diskussionsbeiträge 78, University of Tübingen, School of Business and Economics.
    205. Michael W. Brandt & Qiang Kang, 2002. "On the Relationship Between the Conditional Mean and Volatility of Stock Returns: A Latent VAR Approach," NBER Working Papers 9056, National Bureau of Economic Research, Inc.
    206. Eleftheraki, Anastasia G. & Kateri, Maria & Ntzoufras, Ioannis, 2009. "Bayesian analysis of two dependent 22 contingency tables," Computational Statistics & Data Analysis, Elsevier, vol. 53(7), pages 2724-2732, May.
    207. Villani, Mattias & Larsson, Rolf, 2004. "The Multivariate Split Normal Distribution and Asymmetric Principal Components Analysis," Working Paper Series 175, Sveriges Riksbank (Central Bank of Sweden).
    208. David Roodman, 2011. "Fitting fully observed recursive mixed-process models with cmp," Stata Journal, StataCorp LP, vol. 11(2), pages 159-206, June.
    209. Gareth W. Peters & Rodrigo S. Targino & Mario V. Wüthrich, 2017. "Bayesian Modelling, Monte Carlo Sampling and Capital Allocation of Insurance Risks," Risks, MDPI, vol. 5(4), pages 1-51, September.
    210. Joshua Chan & Rodney Strachan, 2012. "Estimation in Non-Linear Non-Gaussian State Space Models with Precision-Based Methods," CAMA Working Papers 2012-13, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    211. Kleibergen, Frank & Paap, Richard, 2002. "Priors, posteriors and bayes factors for a Bayesian analysis of cointegration," Journal of Econometrics, Elsevier, vol. 111(2), pages 223-249, December.
    212. Isaiah Hull & Or Sattath & Eleni Diamanti & Göran Wendin, 2024. "Quantum Technology for Economists," Contributions to Economics, Springer, number 978-3-031-50780-9, December.
    213. David, D. & Hoogerheide, L.F. & van Dijk, H.K., 2008. "The AdMit Package," Econometric Institute Research Papers EI 2008-17, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    214. Kwan, Yum K., 1998. "Asymptotic Bayesian analysis based on a limited information estimator," Journal of Econometrics, Elsevier, vol. 88(1), pages 99-121, November.
    215. Richard, Jean-Francois & Zhang, Wei, 2007. "Efficient high-dimensional importance sampling," Journal of Econometrics, Elsevier, vol. 141(2), pages 1385-1411, December.
    216. Jacek Osiewalski & Mark Steel, 1998. "Numerical Tools for the Bayesian Analysis of Stochastic Frontier Models," Journal of Productivity Analysis, Springer, vol. 10(1), pages 103-117, July.
    217. David Roodman, 2009. "Estimating Fully Observed Recursive Mixed-Process Models with cmp," Working Papers 168, Center for Global Development.
    218. Liu, Hongxun & Li, Jianglong & Long, Houyin & Li, Zhi & Le, Canyu, 2018. "Promoting energy and environmental efficiency within a positive feedback loop: Insights from global value chain," Energy Policy, Elsevier, vol. 121(C), pages 175-184.
    219. Eisenhauer, Philipp & Heckman, James J. & Mosso, Stefano, 2014. "Estimation of Dynamic Discrete Choice Models by Maximum Likelihood and the Simulated Method of Moments," IZA Discussion Papers 8548, Institute of Labor Economics (IZA).
    220. Chernew, Michael & Gowrisankaran, Gautam & Fendrick, A. Mark, 2002. "Payer type and the returns to bypass surgery: evidence from hospital entry behavior," Journal of Health Economics, Elsevier, vol. 21(3), pages 451-474, May.
    221. David N. DeJong & Hariharan Dharmarajan & Roman Liesenfeld & Guilherme Moura & Jean-Francois Richard, 2009. "Efficient Likelihood Evaluation of State-Space Representations," Working Papers 2009/15, Czech National Bank.
    222. Taylor, Nick, 2016. "Roll strategy efficiency in commodity futures markets," Journal of Commodity Markets, Elsevier, vol. 1(1), pages 14-34.
    223. John J. McCall, 2004. "Induction: From Kolmogorov and Solomonoff to De Finetti and Back to Kolmogorov," Metroeconomica, Wiley Blackwell, vol. 55(2‐3), pages 195-218, May.
    224. Mengheng Li & Siem Jan (S.J.) Koopman, 2018. "Unobserved Components with Stochastic Volatility in U.S. Inflation: Estimation and Signal Extraction," Tinbergen Institute Discussion Papers 18-027/III, Tinbergen Institute.
    225. Nalan Basturk & Lennart Hoogerheide & Anne Opschoor & Herman K. van Dijk, 2012. "The R Package MitISEM: Mixture of Student-t Distributions using Importance Sampling Weighted Expectation Maximization for Efficient and Robust Simulation," Tinbergen Institute Discussion Papers 12-096/III, Tinbergen Institute.
    226. Bin Liu, 2017. "Posterior exploration based sequential Monte Carlo for global optimization," Journal of Global Optimization, Springer, vol. 69(4), pages 847-868, December.
    227. Coban, Mustafa, 2017. "I'm fine with Immigrants, but ...: Attitudes, ethnic diversity, and redistribution preference," Discussion Paper Series 137, Julius Maximilian University of Würzburg, Chair of Economic Order and Social Policy.
    228. Norris I. Bruce, 2008. "Pooling and Dynamic Forgetting Effects in Multitheme Advertising: Tracking the Advertising Sales Relationship with Particle Filters," Marketing Science, INFORMS, vol. 27(4), pages 659-673, 07-08.
    229. Schwaab, Bernd & Koopman, Siem Jan & Lucas, André, 2014. "Nowcasting and forecasting global financial sector stress and credit market dislocation," International Journal of Forecasting, Elsevier, vol. 30(3), pages 741-758.
    230. George Chang & James Feigenbaum, 2006. "A Bayesian analysis of log-periodic precursors to financial crashes," Quantitative Finance, Taylor & Francis Journals, vol. 6(1), pages 15-36.
    231. Garland Durham & John Geweke, 2013. "Adaptive Sequential Posterior Simulators for Massively Parallel Computing Environments," Working Paper Series 9, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    232. Bollerslev, Tim, 2001. "Financial econometrics: Past developments and future challenges," Journal of Econometrics, Elsevier, vol. 100(1), pages 41-51, January.
    233. Weiping Kostenko, 2009. "Does Labour Market Achievement Matter for the Wellbeing of Australian Immigrants? Culture and Gender Differences," Melbourne Institute Working Paper Series wp2009n21, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    234. Kurt E. Schnier & Ronald G. Felthoven, 2011. "Accounting for Spatial Heterogeneity and Autocorrelation in Spatial Discrete Choice Models: Implications for Behavioral Predictions," Land Economics, University of Wisconsin Press, vol. 87(3), pages 382-402.
    235. Cristian Barra & Nazzareno Ruggiero, 2023. "Quality of Government and Types of Innovation—Empirical Evidence for Italian Manufacturing Firms," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1749-1789, June.
    236. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    237. Liesenfeld, Roman & Richard, Jean-Francois, 2003. "Univariate and multivariate stochastic volatility models: estimation and diagnostics," Journal of Empirical Finance, Elsevier, vol. 10(4), pages 505-531, September.
    238. Otello Ardovino & Luca Pennacchio & Giuseppe Piroli, 2013. "Cooperazione in ricerca e sviluppo e attivit? innovativa delle imprese: un?analisi empirica della realt? italiana," STUDI ECONOMICI, FrancoAngeli Editore, vol. 2013(109), pages 68-98.
    239. Christophe Planas & Alessandro Rossi & Gabriele Fiorentini, 2008. "The marginal likelihood of Structural Time Series Models, with application to the euro area and US NAIRU," Working Paper series 21_08, Rimini Centre for Economic Analysis.
    240. Geweke, John, 1996. "Monte carlo simulation and numerical integration," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 15, pages 731-800, Elsevier.
    241. Siem Jan Koopman & Neil Shephard, 2002. "Testing the Assumptions Behind the Use of Importance Sampling," Economics Papers 2002-W17, Economics Group, Nuffield College, University of Oxford.
    242. Siddhartha Chib & Michael K Pitt & Neil Shephard, 2004. "Likelihood based inference for diffusion driven models," Economics Papers 2004-W20, Economics Group, Nuffield College, University of Oxford.
    243. Dellaportas, Petros & Tsionas, Mike G., 2019. "Importance sampling from posterior distributions using copula-like approximations," Journal of Econometrics, Elsevier, vol. 210(1), pages 45-57.
    244. Siem Jan Koopman & André Lucas & Marius Ooms & Kees van Montfort & Victor van der Geest, 2007. "Estimating Systematic Continuous-time Trends in Recidivism using a Non-Gaussian Panel Data Model," Tinbergen Institute Discussion Papers 07-027/4, Tinbergen Institute.
    245. Velu, Raja & Zhou, Guofu, 1999. "Testing multi-beta asset pricing models," Journal of Empirical Finance, Elsevier, vol. 6(3), pages 219-241, September.
    246. Tomasz Wozniak, 2012. "Granger-causal analysis of VARMA-GARCH models," Economics Working Papers ECO2012/19, European University Institute.
    247. John Geweke, 1991. "Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments," Staff Report 148, Federal Reserve Bank of Minneapolis.
    248. Dahl Christian M. & Gonzalez-Rivera Gloria, 2003. "Identifying Nonlinear Components by Random Fields in the US GNP Growth. Implications for the Shape of the Business Cycle," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 7(1), pages 1-35, April.
    249. Koop, Gary & Steel, Mark F.J. & Osiewalski, Jacek, 1992. "Posterior analysis of stochastic frontier models using Gibbs sampling," DES - Working Papers. Statistics and Econometrics. WS 3677, Universidad Carlos III de Madrid. Departamento de Estadística.
    250. Lennart Hoogerheide & Herman K. van Dijk, 2008. "Possibly Ill-behaved Posteriors in Econometric Models," Tinbergen Institute Discussion Papers 08-036/4, Tinbergen Institute, revised 18 Apr 2008.
    251. Cogley, Timothy, 2009. "Is the market price of risk infinite?," Economics Letters, Elsevier, vol. 102(1), pages 13-16, January.
    252. McCausland, William J., 2012. "The HESSIAN method: Highly efficient simulation smoothing, in a nutshell," Journal of Econometrics, Elsevier, vol. 168(2), pages 189-206.
    253. Velandia, Margarita M. & Lambert, Dayton M. & Jenkins, Amanda & Roberts, Roland K. & Larson, James A. & English, Burton C. & Martin, Steven W., 2009. "Factors Influencing Selection of Information Sources by Cotton Producers Considering Adoption of Precision Agriculture Technologies," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49326, Agricultural and Applied Economics Association.
    254. Frühwirth-Schnatter, Sylvia & Wagner, Helga, 2008. "Marginal likelihoods for non-Gaussian models using auxiliary mixture sampling," Computational Statistics & Data Analysis, Elsevier, vol. 52(10), pages 4608-4624, June.
    255. W. Kuiper & Anton Cozijnsen, 2011. "The Performance of German Firms in the Business-Related Service Sectors Revisited: Differential Evolution Markov Chain Estimation of the Multinomial Probit Model," Computational Economics, Springer;Society for Computational Economics, vol. 37(4), pages 331-362, April.
    256. Chun, Dohyun & Cho, Hoon & Kim, Jihun, 2019. "Crude oil price shocks and hedging performance: A comparison of volatility models," Energy Economics, Elsevier, vol. 81(C), pages 1132-1147.
    257. Asim Ansari & Raghuram Iyengar, 2006. "Semiparametric Thurstonian Models for Recurrent Choices: A Bayesian Analysis," Psychometrika, Springer;The Psychometric Society, vol. 71(4), pages 631-657, December.
    258. Alexander Bade & Gabriel Frahm & Uwe Jaekel, 2009. "A general approach to Bayesian portfolio optimization," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 70(2), pages 337-356, October.
    259. Aknouche Abdelhakim & Demmouche Nacer & Dimitrakopoulos Stefanos & Touche Nassim, 2020. "Bayesian analysis of periodic asymmetric power GARCH models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 24(4), pages 1-24, September.
    260. T. Berger & G. Everaert, 2006. "Re-examining the Structural and the Persistence Approach to Unemployment," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/383, Ghent University, Faculty of Economics and Business Administration.
    261. Villani, Mattias, 2006. "Bayesian point estimation of the cointegration space," Journal of Econometrics, Elsevier, vol. 134(2), pages 645-664, October.
    262. Nakatsuma, Teruo, 2000. "Bayesian analysis of ARMA-GARCH models: A Markov chain sampling approach," Journal of Econometrics, Elsevier, vol. 95(1), pages 57-69, March.
    263. Christian Aßmann & Marcel Preising, 2020. "Bayesian estimation and model comparison for linear dynamic panel models with missing values," Australian & New Zealand Journal of Statistics, Australian Statistical Publishing Association Inc., vol. 62(4), pages 536-557, December.
    264. Khazri, Afifa, 1999. "Contrats salariaux, rétention de main-d’œuvre et cycle économique [Wage Contracts, Labor Retention and Economic Cycle]," MPRA Paper 86947, University Library of Munich, Germany.
    265. Minjeong Jeon & Frank Rijmen & Sophia Rabe-Hesketh, 2017. "A Variational Maximization–Maximization Algorithm for Generalized Linear Mixed Models with Crossed Random Effects," Psychometrika, Springer;The Psychometric Society, vol. 82(3), pages 693-716, September.
    266. Yang Li & Asim Ansari, 2014. "A Bayesian Semiparametric Approach for Endogeneity and Heterogeneity in Choice Models," Management Science, INFORMS, vol. 60(5), pages 1161-1179, May.
    267. Cogley, Timothy W. & Morozov, Sergei & Sargent, Thomas J., 2003. "Bayesian fan charts for UK inflation: Forecasting and sources of uncertainty in an evolving monetary system," CFS Working Paper Series 2003/44, Center for Financial Studies (CFS).
    268. Teruo Nakatsuma & Hiroki Tsurumi, 1996. "ARMA-GARCH Models: Bayes Estimation Versus MLE, and Bayes Non-stationarity Test," Departmental Working Papers 199619, Rutgers University, Department of Economics.
    269. Abdelhakim Aknouche, 2017. "Periodic autoregressive stochastic volatility," Statistical Inference for Stochastic Processes, Springer, vol. 20(2), pages 139-177, July.
    270. Loukia Meligkotsidou & Elias Tzavalis & Ioannis D. Vrontos, 2012. "A Bayesian panel data framework for examining the economic growth convergence hypothesis: do the G7 countries converge?," Journal of Applied Statistics, Taylor & Francis Journals, vol. 39(9), pages 1975-1990, May.
    271. Heckelei, Thomas & Mittelhammer, Ronald C., 1996. "Bayesian Bootstrap Analysis of Systems of Equations," Discussion Papers 18786, University of Bonn, Institute for Food and Resource Economics.
    272. Schwaab, Bernd & Koopman, Siem Jan & Lucas, André, 2011. "Systemic risk diagnostics: coincident indicators and early warning signals," Working Paper Series 1327, European Central Bank.
    273. Ou Yang & Xueyan Zhao & Preety Srivastava, 2016. "Binge Drinking and Antisocial and Unlawful Behaviours in Australia," The Economic Record, The Economic Society of Australia, vol. 92(297), pages 222-240, June.
    274. Denis Fougère & Thierry Kamionka, 2003. "Bayesian inference for the mover-stayer model in continuous time with an application to labour market transition data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(6), pages 697-723.
    275. Christelis, Dimitris & Georgarakos, Dimitris, 2009. "Investing at home and abroad: Different costs, different people," CFS Working Paper Series 2009/28, Center for Financial Studies (CFS).
    276. Garland Durham, 2004. "Likelihood-based estimation and specification analysis of one- and two-factor SV models with leverage effects," Econometric Society 2004 North American Summer Meetings 294, Econometric Society.
    277. Pigini, Claudia & Presbitero, Andrea F. & Zazzaro, Alberto, 2016. "State dependence in access to credit," Journal of Financial Stability, Elsevier, vol. 27(C), pages 17-34.
    278. Adams, Richard H. & Cuecuecha, Alfredo, 2013. "The Impact of Remittances on Investment and Poverty in Ghana," World Development, Elsevier, vol. 50(C), pages 24-40.
    279. Mark Bognanni & Edward P. Herbst, 2014. "Estimating (Markov-Switching) VAR Models without Gibbs Sampling: A Sequential Monte Carlo Approach," Working Papers (Old Series) 1427, Federal Reserve Bank of Cleveland.
    280. Haojue Zhang & Yifu Sun & Changyu Meng, 2023. "Sustainable Urban Competitiveness from a Financial Development Perspective: An Empirical Study of China," Sustainability, MDPI, vol. 15(5), pages 1-18, February.
    281. Otieno, Zipora & Okello, Julius J. & Nyikal, Rose & Mwang'ombe, Agnes & Clavel, Daniele, 2011. "The role of varietal traits in the adoption of improved dryland crop varieties: The case of pigeon pea in Kenya," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 6(2), pages 1-18, September.
    282. Gregor Zens, 2018. "Bayesian shrinkage in mixture of experts models: Identifying robust determinants of class membership," Papers 1809.04853, arXiv.org, revised Jan 2019.
    283. Schorfheide, Frank & An, Sungbae, 2005. "Bayesian Analysis of DSGE Models," CEPR Discussion Papers 5207, C.E.P.R. Discussion Papers.
    284. Matthieu Droumaguet & Tomasz Wozniak, 2012. "Bayesian Testing of Granger Causality in Markov-Switching VARs," Economics Working Papers ECO2012/06, European University Institute.
    285. Kleppe, Tore Selland & Yu, Jun & Skaug, Hans J., 2014. "Maximum likelihood estimation of partially observed diffusion models," Journal of Econometrics, Elsevier, vol. 180(1), pages 73-80.
    286. Sampi Bravo,James Robert Ezequiel & Jooste,Charl, 2020. "Nowcasting Economic Activity in Times of COVID-19 : An Approximation from the Google Community Mobility Report," Policy Research Working Paper Series 9247, The World Bank.
    287. Hoogerheide, L.F. & Kaashoek, J.F. & van Dijk, H.K., 2004. "Neural network based approximations to posterior densities: a class of flexible sampling methods with applications to reduced rank models," Econometric Institute Research Papers EI 2004-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    288. Tsiakas, Ilias, 2008. "Overnight information and stochastic volatility: A study of European and US stock exchanges," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 251-268, February.
    289. Roberto Fontana & Alessandro Nuvolari & Hiroshi Shimitzu & Andrea Vezzulli, 2012. "Schumpeterian Patterns of Innovation and the Sources of Breakthrough Inventions: Evidence from a Data-Set of R&D Awards," Working Papers Department of Economics 2012/24, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
    290. Geert Mesters & Bernd Schwaab & Siem Jan Koopman, 2014. "A Dynamic Yield Curve Model with Stochastic Volatility and Non-Gaussian Interactions: An Empirical Study of Non-standard Monetary Policy in the Euro Area," Tinbergen Institute Discussion Papers 14-071/III, Tinbergen Institute.
    291. Yimei Li & E. Paul Wileyto & Daniel F. Heitjan, 2011. "Prediction of Individual Long-term Outcomes in Smoking Cessation Trials Using Frailty Models," Biometrics, The International Biometric Society, vol. 67(4), pages 1321-1329, December.
    292. Durham, Garland B., 2006. "Monte Carlo methods for estimating, smoothing, and filtering one- and two-factor stochastic volatility models," Journal of Econometrics, Elsevier, vol. 133(1), pages 273-305, July.
    293. Anja Lambrecht & Katja Seim & Catherine Tucker, 2011. "Stuck in the Adoption Funnel: The Effect of Interruptions in the Adoption Process on Usage," Marketing Science, INFORMS, vol. 30(2), pages 355-367, 03-04.
    294. Wang, Xiaoning & Schumitzky, Alan & D'Argenio, David Z., 2007. "Nonlinear random effects mixture models: Maximum likelihood estimation via the EM algorithm," Computational Statistics & Data Analysis, Elsevier, vol. 51(12), pages 6614-6623, August.
    295. Carmen Fernandez & Mark F J Steel, 1999. "Bayesian Regression Analysis with scale mixtures of normals," Edinburgh School of Economics Discussion Paper Series 27, Edinburgh School of Economics, University of Edinburgh.
    296. Lei Liu & Zhihua Sun, 2017. "Kernel-based global MLE of partial linear random effects models for longitudinal data," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 29(3), pages 615-635, July.
    297. Ku, Se-Ju & Yoo, Seung-Hoon, 2010. "Willingness to pay for renewable energy investment in Korea: A choice experiment study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2196-2201, October.
    298. Gael M. Martin & David T. Frazier & Christian P. Robert, 2020. "Computing Bayes: Bayesian Computation from 1763 to the 21st Century," Monash Econometrics and Business Statistics Working Papers 14/20, Monash University, Department of Econometrics and Business Statistics.
    299. Dong, Fengxia & Marsh, Thomas L. & Stiegert, Kyle W., 2006. "State Trading Enterprises in a Differentiated Product Environment: The Case of Global Malting Barley Markets," Staff General Research Papers Archive 12357, Iowa State University, Department of Economics.
    300. HOOGERHEIDE, Lennart F. & VAN DIJK, Herman K. & VAN OEST, Rutger D., 2007. "Simulation based Bayesian econometric inference: principles and some recent computational advances," LIDAM Discussion Papers CORE 2007015, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    301. Jacquier, Eric & Polson, Nicholas G. & Rossi, P.E.Peter E., 2004. "Bayesian analysis of stochastic volatility models with fat-tails and correlated errors," Journal of Econometrics, Elsevier, vol. 122(1), pages 185-212, September.
    302. Gael M. Martin & David T. Frazier & Christian P. Robert, 2021. "Approximating Bayes in the 21st Century," Monash Econometrics and Business Statistics Working Papers 24/21, Monash University, Department of Econometrics and Business Statistics.
    303. Daziano, Ricardo A., 2015. "Inference on mode preferences, vehicle purchases, and the energy paradox using a Bayesian structural choice model," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 1-26.
    304. Yin, Ming, 2015. "Estimating Gaussian Mixture Autoregressive model with Sequential Monte Carlo algorithm: A parallel GPU implementation," MPRA Paper 88111, University Library of Munich, Germany, revised 2018.
    305. Teruo Nakatsuma & Hiroki Tsurumi, 1999. "Bayesian Estimation of ARMA-GARCH Model of Weekly Foreign Exchange Rates," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 6(1), pages 71-84, January.
    306. Bade, Alexander & Frahm, Gabriel & Jaekel, Uwe, 2008. "A general approach to Bayesian portfolio optimization," Discussion Papers in Econometrics and Statistics 1/08, University of Cologne, Institute of Econometrics and Statistics.
    307. Siem Jan Koopman & Andre Lucas & Marcel Scharth, 2011. "Numerically Accelerated Importance Sampling for Nonlinear Non-Gaussian State Space Models," Tinbergen Institute Discussion Papers 11-057/4, Tinbergen Institute, revised 27 Jan 2012.
    308. David Ardia & Lennart Hoogerheide & Herman K. van Dijk, 2009. "To Bridge, to Warp or to Wrap? A Comparative Study of Monte Carlo Methods for Efficient Evaluation of Marginal Likelihoods," Tinbergen Institute Discussion Papers 09-017/4, Tinbergen Institute.
    309. Athanasios Kottas & Alan E. Gelfand, 2001. "Modeling Variability Order: A Semiparametric Bayesian Approach," Methodology and Computing in Applied Probability, Springer, vol. 3(4), pages 427-442, December.
    310. Elizabeth G. Ryan & Christopher C. Drovandi & James M. McGree & Anthony N. Pettitt, 2016. "A Review of Modern Computational Algorithms for Bayesian Optimal Design," International Statistical Review, International Statistical Institute, vol. 84(1), pages 128-154, April.
    311. Siem Jan Koopman & John A. D. Aston, 2006. "A non-Gaussian generalization of the Airline model for robust seasonal adjustment," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(5), pages 325-349.
    312. Tim Bollerslev & Ray Y. Chou & Narayanan Jayaraman & Kenneth F. Kroner - L, 1991. "es modéles ARCH en finance : un point sur la théorie et les résultats empiriques," Annals of Economics and Statistics, GENES, issue 24, pages 1-59.
    313. Coban, Mustafa, 2020. "Redistribution Preferences, Attitudes towards Immigrants, and Ethnic Diversity," IAB-Discussion Paper 202023, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    314. Chen, Cathy W.S. & Gerlach, Richard & Wei, D.C.M., 2009. "Bayesian causal effects in quantiles: Accounting for heteroscedasticity," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 1993-2007, April.
    315. Troske, Kenneth & Voicu, Alexandru, 2009. "The Effect of Children on the Level of Labor Market Involvement of Married Women: What is the Role of Education?," IZA Discussion Papers 4074, Institute of Labor Economics (IZA).
    316. Román, Concepción & Congregado, Emilio & Millán, José María, 2013. "Start-up incentives: Entrepreneurship policy or active labour market programme?," Journal of Business Venturing, Elsevier, vol. 28(1), pages 151-175.
    317. Patricio Valdivieso & Benjamín Villena-Roldán, 2012. "Participation in Organizations, Trust, and Social Capital Formation: Evidence from Chile," Documentos de Trabajo 293, Centro de Economía Aplicada, Universidad de Chile.
    318. Preety Srivastava & Ou Yang & Xueyan Zhao, 2022. "Equal Tax for Equal Alcohol? Beverage Types and Antisocial and Unlawful Behaviours," The Economic Record, The Economic Society of Australia, vol. 98(323), pages 354-372, December.
    319. Nursel Aydiner-Avsar & M. Burak Onemli, 2023. "Working Poverty in Türkiye: A Dynamic Panel Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 168(1), pages 139-164, August.
    320. Abigail Tiffin & Richard Tiffin, 1999. "Estimates of Food Demand Elasticities for Great Britain: 1972–1994," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(1), pages 140-147, January.
    321. Siem Jan Koopman & Rutger Lit & André Lucas, 2014. "The Dynamic Skellam Model with Applications," Tinbergen Institute Discussion Papers 14-032/IV/DSF73, Tinbergen Institute, revised 06 Jul 2015.
    322. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2013. "Historical Developments in Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 13-191/III, Tinbergen Institute.
    323. Bräuning, Falk & Koopman, Siem Jan, 2020. "The dynamic factor network model with an application to international trade," Journal of Econometrics, Elsevier, vol. 216(2), pages 494-515.
    324. Dr Silvia Lui & Dr Martin Weale, 2012. "Education and its Effects on Survival, Income and Health of those aged Sixty-five and over in the United Kingdom," National Institute of Economic and Social Research (NIESR) Discussion Papers 393, National Institute of Economic and Social Research.
    325. Streftaris, George & Worton, Bruce J., 2008. "Efficient and accurate approximate Bayesian inference with an application to insurance data," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2604-2622, January.
    326. Herve Guyomard & Chantal Le Mouël & U. Vasavada, 1993. "Applying duality theory in agricultural production economics as a basis of policy decision making [[Application de la théorie de la dualité en économie de la production agricole : utilisation pour ," Post-Print hal-02850915, HAL.
    327. Joo-Suk Lee, 2018. "The environmental costs of Asian dust damages in Korea: applying a choice experiment," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(3), pages 641-654, July.
    328. Luca Pennacchio & Giuseppe Piroli & Otello Ardovino, 2018. "The Role of R&D Cooperation in Firm Innovation," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 1-27, February.
    329. Lee, Lung-fei, 1999. "Estimation of dynamic and ARCH Tobit models," Journal of Econometrics, Elsevier, vol. 92(2), pages 355-390, October.
    330. Vassilis A. Hajivassiliou, 1991. "Simulation Estimation Methods for Limited Dependent Variable Models," Cowles Foundation Discussion Papers 1007, Cowles Foundation for Research in Economics, Yale University.
    331. Hoogerheide, L.F. & Kaashoek, J.F. & van Dijk, H.K., 2002. "Functional approximations to posterior densities: a neural network approach to efficient sampling," Econometric Institute Research Papers EI 2002-48, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    332. Larose, Daniel T. & Dey, Dipak K., 1998. "Modeling publication bias using weighted distributions in a Bayesian framework," Computational Statistics & Data Analysis, Elsevier, vol. 26(3), pages 279-302, January.
    333. F. Douglas Foster & Charles H. Whiteman, 2006. "Bayesian Prediction, Entropy, and Option Pricingx," Australian Journal of Management, Australian School of Business, vol. 31(2), pages 181-205, December.
    334. Hu, Wuyang & Adamowicz, Wiktor L. & Veeman, Michele M., 2005. "Bayesian Analysis of Consumer Choices with Taste, Context, Reference Point and Individual Scale Effects," 2005 Annual meeting, July 24-27, Providence, RI 19296, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    335. Fan, Tsai-Hung & Berger, James O., 2000. "Robust Bayesian displays for standard inferences concerning a normal mean," Computational Statistics & Data Analysis, Elsevier, vol. 33(4), pages 381-399, June.
    336. Liang, Faming, 2009. "On the use of stochastic approximation Monte Carlo for Monte Carlo integration," Statistics & Probability Letters, Elsevier, vol. 79(5), pages 581-587, March.
    337. Leonard, Kenneth L, 2007. "Learning in Health Care: Evidence of Learning about Clinician Quality in Tanzania," Economic Development and Cultural Change, University of Chicago Press, vol. 55(3), pages 531-555, April.
    338. Ib Thomsen & Li-Chun Zhang & Joseph Sexton, 2000. "Markov Chain Generated Profile Likelihood Inference under Generalized Proportional to Size Non-ignorable Non-response," Discussion Papers 274, Statistics Norway, Research Department.
    339. Hruschka, Harald, 2006. "Relevance of functional flexibility for heterogeneous sales response models: A comparison of parametric and semi-nonparametric models," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1009-1020, October.
    340. Canova, Fabio & Marrinan, Jane, 1996. "Reconciling the term structure of interest rates with the consumption-based ICAP model," Journal of Economic Dynamics and Control, Elsevier, vol. 20(4), pages 709-750, April.
    341. Heckelei, Thomas & Mittelhammer, Ron C., 2003. "Bayesian bootstrap multivariate regression," Journal of Econometrics, Elsevier, vol. 112(2), pages 241-264, February.
    342. Siem Jan Koopman & Kai Ming Lee, 2005. "Measuring Asymmetric Stochastic Cycle Components in U.S. Macroeconomic Time Series," Tinbergen Institute Discussion Papers 05-081/4, Tinbergen Institute.
    343. Pitt, Michael K. & Silva, Ralph dos Santos & Giordani, Paolo & Kohn, Robert, 2012. "On some properties of Markov chain Monte Carlo simulation methods based on the particle filter," Journal of Econometrics, Elsevier, vol. 171(2), pages 134-151.
    344. Justyna Mokrzycka, 2019. "Bayesian comparison of bivariate Copula-GARCH and MGARCH models," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 11(1), pages 47-71, March.
    345. Brandt, Michael W. & Kang, Qiang, 2004. "On the relationship between the conditional mean and volatility of stock returns: A latent VAR approach," Journal of Financial Economics, Elsevier, vol. 72(2), pages 217-257, May.
    346. Vijverberg, Wim P. M., 1997. "Monte Carlo evaluation of multivariate normal probabilities," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 281-307.
    347. Aknouche, Abdelhakim & Demmouche, Nacer & Touche, Nassim, 2018. "Bayesian MCMC analysis of periodic asymmetric power GARCH models," MPRA Paper 91136, University Library of Munich, Germany.
    348. Liang, Faming & Zhang, Jian, 2009. "Learning Bayesian networks for discrete data," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 865-876, February.
    349. Fernandez-Cornejo, Jorge & Wechsler, Seth James, 2012. "Revisiting the Impact of Bt Corn Adoption by U.S. Farmers," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(3), pages 1-14, December.
    350. Yasar, Mahmut, 2013. "Political Influence of Exporting and Import-Competing Firms: Evidence from Eastern European and Central Asian Countries," World Development, Elsevier, vol. 51(C), pages 154-168.
    351. Giovanni Bruno & Orietta Dessy, 2014. "Average partial effects in multivariate probit models with latent heterogeneity: Monte Carlo experiments and an application to immigrants' ethnic identity and economic performance," Italian Stata Users' Group Meetings 2014 10, Stata Users Group.
    352. Hoogerheide, Lennart & van Dijk, Herman K., 2010. "Bayesian forecasting of Value at Risk and Expected Shortfall using adaptive importance sampling," International Journal of Forecasting, Elsevier, vol. 26(2), pages 231-247, April.
    353. Aknouche, Abdelhakim & Dimitrakopoulos, Stefanos & Touche, Nassim, 2019. "Integer-valued stochastic volatility," MPRA Paper 91962, University Library of Munich, Germany, revised 04 Feb 2019.
    354. khazri, Afifa, 2000. "Rigidités salariales, effort de travail variable et Fluctuations [Salary Rigidity, Variable Work Effort and Fluctuations]," MPRA Paper 86758, University Library of Munich, Germany.
    355. Aknouche, Abdelhakim, 2013. "Periodic autoregressive stochastic volatility," MPRA Paper 69571, University Library of Munich, Germany, revised 2015.
    356. Agnieszka Borowska & Lennart Hoogerheide & Siem Jan Koopman, 2019. "Bayesian Risk Forecasting for Long Horizons," Tinbergen Institute Discussion Papers 19-018/III, Tinbergen Institute.
    357. Monfort, Abel & Villagra, Nuria & Sánchez, Joaquín, 2021. "Economic impact of corporate foundations: An event analysis approach," Journal of Business Research, Elsevier, vol. 122(C), pages 159-170.
    358. Vassilis A. Hajivassiliou, 1993. "Simulating Normal Rectangle Probabilities and Their Derivatives: The Effects of Vectorization," Cowles Foundation Discussion Papers 1049, Cowles Foundation for Research in Economics, Yale University.
    359. Lee Kai Ming & Koopman Siem Jan, 2004. "Estimating Stochastic Volatility Models: A Comparison of Two Importance Samplers," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(2), pages 1-17, May.
    360. Grigor Sukiassyan & Jeffrey Nugent, 2008. "Associations versus registration as alternative strategies of small firms," Small Business Economics, Springer, vol. 31(2), pages 147-161, August.
    361. Kerem Tuzcuoglu, 2019. "Composite Likelihood Estimation of an Autoregressive Panel Probit Model with Random Effects," Staff Working Papers 19-16, Bank of Canada.
    362. Geweke, John & Durham, Garland, 2019. "Sequentially adaptive Bayesian learning algorithms for inference and optimization," Journal of Econometrics, Elsevier, vol. 210(1), pages 4-25.
    363. Fu, Shengfei & Shonkwiler, John Scott, 2015. "A New Estimator for Multivariate Binary Data," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 204963, Agricultural and Applied Economics Association.
    364. Romeo, Charles J, 1999. "Conducting Inference in Semiparametric Duration Models under Inequality Restrictions on the Shape of the Hazard Implied by Job Search Theory," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(6), pages 587-605, Nov.-Dec..
    365. Rafael P. Greminger, 2022. "Heterogeneous Position Effects and the Power of Rankings," Papers 2210.16408, arXiv.org, revised Dec 2023.
    366. Guyomard, Herve & Mahe, Louis Adrien Pascal, 1993. "Producer Behaviour Under Strict Rationing and Quai-Fixed Factors," Bulletins 7489, University of Minnesota, Economic Development Center.
    367. Michael Chernew & Gautam Gowrisankaran & A. Mark Fendrick, 2001. "Payer Type and the Returns to Bypass Surgery: Evidence from Hospital Entry Behavior," NBER Working Papers 8632, National Bureau of Economic Research, Inc.
    368. Bernd Schwaab & Andre Lucas & Siem Jan Koopman, 2010. "Systemic Risk Diagnostics," Tinbergen Institute Discussion Papers 10-104/2/DSF 2, Tinbergen Institute, revised 29 Nov 2010.
    369. Jurgen A. Doornik & David F. Hendry & Neil Shephard, "undated". "Computationally-intensive Econometrics using a Distributed Matrix-programming Language," Economics Papers 2001-W22, Economics Group, Nuffield College, University of Oxford.
    370. Nadine Herrard & Yves Le Roux & Yves Surry & . Département d'Ecnomie Et de Sociologie Rurales, Rennes, 1996. "A bayesian analysis of trade in agri-food products : an application to France," Post-Print hal-02354663, HAL.
    371. Richard G. Everitt, 2018. "Efficient importance sampling in low dimensions using affine arithmetic," Computational Statistics, Springer, vol. 33(1), pages 1-29, March.
    372. Khazri, Afifa, 2001. "Impact des chocs monétaires sur les variations du salaire réel [Monetary Shocks and Impact on Changes in Real Wages]," MPRA Paper 86772, University Library of Munich, Germany.
    373. Kleibergen, F.R. & Paap, R., 1996. "Priors, Posterior Odds and Lagrange Multiplier Statistics in Bayesian Analyses of Cointegration," Econometric Institute Research Papers EI 9668-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    374. Lennart F. Hoogerheide & Johan F. Kaashoek, 2004. "Functional Approximations to Likelihoods/Posterior Densities: A Neural Network Approach to Efficient Sampling," Computing in Economics and Finance 2004 74, Society for Computational Economics.
    375. Stefania Mignani & Marcello Pagnini, 2021. "How effective is financial education? Evidence from the Emilia-Romagna region," Working Paper series 21-08, Rimini Centre for Economic Analysis.
    376. Zellner, Arnold, 1998. "The finite sample properties of simultaneous equations' estimates and estimators Bayesian and non-Bayesian approaches," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 185-212.
    377. Dilip Nachane, 2017. "Dynamic Stochastic General Equilibrium (DSGE) Modelling :Theory And Practice," Working Papers id:11699, eSocialSciences.
    378. Irina V. Bezlepkina & Nikolai M. Svetlov, 2000. "Approaching the losses caused by imperfect short-term financing at the Russian farms," Econometrics 0004006, University Library of Munich, Germany.
    379. Mendes, Beatriz Vaz de Melo, 1998. "Financial Modeling Using Sampling-Importance Resampling," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 18(1), May.
    380. Meligkotsidou, Loukia & Tzavalis, Elias & Vrontos, Ioannis, 2017. "On Bayesian analysis and unit root testing for autoregressive models in the presence of multiple structural breaks," Econometrics and Statistics, Elsevier, vol. 4(C), pages 70-90.
    381. Federico Bassetti & Roberto Casarin & Francesco Ravazzolo, 2019. "Density Forecasting," BEMPS - Bozen Economics & Management Paper Series BEMPS59, Faculty of Economics and Management at the Free University of Bozen.

  40. Geweke, John, 1988. "Antithetic acceleration of Monte Carlo integration in Bayesian inference," Journal of Econometrics, Elsevier, vol. 38(1-2), pages 73-89.

    Cited by:

    1. John Geweke, 1992. "Priors for macroeconomic time series and their application," Discussion Paper / Institute for Empirical Macroeconomics 64, Federal Reserve Bank of Minneapolis.
    2. Bearse, Peter & Gurmu, Shiferaw & Rapaport, Carol & Stern, Steven, 2004. "Paratransit demand of disabled people," Transportation Research Part B: Methodological, Elsevier, vol. 38(9), pages 809-831, November.
    3. Lence, Sergio H., 2002. "Do Futures Benefit Farmers Who Adopt Them?," 2002 Annual meeting, July 28-31, Long Beach, CA 19768, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Wang, Zhenyu, 1998. "Efficiency loss and constraints on portfolio holdings," Journal of Financial Economics, Elsevier, vol. 48(3), pages 359-375, June.
    5. Chalfant, James & Gray, Richard & White, Kenneth, 1989. "Evaluating Prior Beliefs in a Demand System: The Case of Meats Demand in Canada," CUDARE Working Papers 198485, University of California, Berkeley, Department of Agricultural and Resource Economics.
    6. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
    7. Sullivan, Paul, 2006. "Interpolating Value Functions in Discrete Choice Dynamic Programming Models," MPRA Paper 864, University Library of Munich, Germany.
    8. Amine Ouazad & Romain Rancière, 2019. "City Equilibrium With Borrowing Constraints: Structural Estimation And General Equilibrium Effects," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 60(2), pages 721-749, May.
    9. Ingo Fender, 2000. "The impact of corporate risk management on monetary policy transmission: some empirical evidence," BIS Working Papers 95, Bank for International Settlements.
    10. Bridget Hiedemann & Michelle Sovinsky & Steven Stern, 2011. "Will You Still Want Me Tomorrow? The Dynamics of Families' Long-Term Care Arrangements," Working Papers 2012-017, Human Capital and Economic Opportunity Working Group.
    11. Cranfield, John A.L. & Preckel, Paul V. & Liu, Songquan, 1997. "Approximating Bayesian Posteriors using Multivariate Gaussian Quadrature," 1997 Annual Meeting, July 13-16, 1997, Reno\ Sparks, Nevada 35791, Western Agricultural Economics Association.
    12. Wang, Xuecai & Dorfman, Jeffrey H. & McKissick, John C. & Turner, Steven C., 2001. "Optimal Marketing Decisions For Feeder Cattle Under Price And Production Risk," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 33(3), pages 1-13, December.
    13. Lence, Sergio H. & Hayes, Dermot J., 1995. "Land Allocation in the Presence of Estimation Risk," Staff General Research Papers Archive 995, Iowa State University, Department of Economics.
    14. Sandor, Zsolt & Andras, P.Peter, 2004. "Alternative sampling methods for estimating multivariate normal probabilities," Journal of Econometrics, Elsevier, vol. 120(2), pages 207-234, June.
    15. Tanizaki, Hisashi, 1997. "Nonlinear and nonnormal filters using Monte Carlo methods," Computational Statistics & Data Analysis, Elsevier, vol. 25(4), pages 417-439, September.
    16. Lastrapes, William D., 2002. "Real wages and aggregate demand shocks: contradictory evidence from VARs," Journal of Economics and Business, Elsevier, vol. 54(4), pages 389-413.
    17. Sándor, Z. & András, P., 2003. "Alternate Samplingmethods for Estimating Multivariate Normal Probabilities," Econometric Institute Research Papers EI 2003-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    18. Robert Amano & Kim McPhail & Hope Pioro & Andrew Rennison, 2002. "Evaluating the Quarterly Projection Model: A Preliminary Investigation," Staff Working Papers 02-20, Bank of Canada.
    19. Munkin, Murat K., 2003. "The MCMC and SML estimation of a self-selection model with two outcomes," Computational Statistics & Data Analysis, Elsevier, vol. 42(3), pages 403-424, March.
    20. Sullivan, Paul, 2006. "A Dynamic Analysis of Educational Attainment, Occupational Choices, and Job Search," MPRA Paper 3896, University Library of Munich, Germany, revised Jun 2007.
    21. Dorfman, Jeffrey H. & Havenner, Arthur M., 1992. "A Bayesian approach to state space multivariate time series modeling," Journal of Econometrics, Elsevier, vol. 52(3), pages 315-346, June.
    22. Tanizaki, Hisashi & Mariano, Roberto S., 1998. "Nonlinear and non-Gaussian state-space modeling with Monte Carlo simulations," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 263-290.
    23. Balcombe, Kelvin & Bailey, Alastair, 2006. "Bayesian inference of a smooth transition dynamic almost ideal model of food demand in the US," MPRA Paper 17305, University Library of Munich, Germany.
    24. William Greene, 2002. "Convenient estimators for the panel probit model: Further results," Working Papers 02-06, New York University, Leonard N. Stern School of Business, Department of Economics.
    25. John Geweke, 1998. "Using simulation methods for Bayesian econometric models: inference, development, and communication," Staff Report 249, Federal Reserve Bank of Minneapolis.
    26. Steel, M.F.J., 1989. "A Bayesian analysis of simultaneous equation models by combining recursive analytical and numerical approaches," Other publications TiSEM b3f4c27f-4dab-46b3-9587-6, Tilburg University, School of Economics and Management.
    27. Dorfman, Jeffrey H. & McIntosh, Christopher S., 1998. "Putting The "Econ" Into Econometrics," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20874, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    28. Lixin Cai, 2009. "Is self-reported disability status endogenous to labour force status?," Applied Economics Letters, Taylor & Francis Journals, vol. 16(5), pages 459-464.
    29. Bound, John & Schoenbaum, Michael & Stinebrickner, Todd R. & Waidmann, Timothy, 1999. "The dynamic effects of health on the labor force transitions of older workers," Labour Economics, Elsevier, vol. 6(2), pages 179-202, June.
    30. Sergio H. Lence, 2009. "Do Futures Benefit Farmers?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(1), pages 154-167.
    31. Cai, Lixin, 2010. "The relationship between health and labour force participation: Evidence from a panel data simultaneous equation model," Labour Economics, Elsevier, vol. 17(1), pages 77-90, January.
    32. M F Goodchild & L Anselin & U Deichmann, 1993. "A Framework for the Areal Interpolation of Socioeconomic Data," Environment and Planning A, , vol. 25(3), pages 383-397, March.
    33. William Greene, 2001. "Fixed and Random Effects in Nonlinear Models," Working Papers 01-01, New York University, Leonard N. Stern School of Business, Department of Economics.
    34. Carrasco, Marine & Florens, Jean-Pierre, 2002. "Spectral Method for Deconvolving a Density," IDEI Working Papers 138, Institut d'Économie Industrielle (IDEI), Toulouse, revised 2009.
    35. Amano, Robert & Coletti , Don & Murchison , Stephen, 2000. "Empirical Estimation and the Quarterly Projection Model: An Example Focusing on the External Sector," Working Paper Series 104, Sveriges Riksbank (Central Bank of Sweden).
    36. Geweke, John & Keane, Michael P & Runkle, David, 1994. "Alternative Computational Approaches to Inference in the Multinomial Probit Model," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 609-632, November.
    37. Lixin Cai & Guyonne Kalb, 2007. "Health status and labour force status of older working-age Australian men," Australian Journal of Labour Economics (AJLE), Bankwest Curtin Economics Centre (BCEC), Curtin Business School, vol. 10(4), pages 227-252.
    38. David Dean & John Pepper & Robert Schmidt & Steven Stern, 2015. "The Effects Of Vocational Rehabilitation For People With Cognitive Impairments," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(2), pages 399-426, May.
    39. Stern, Steven, 1994. "Two Dynamic Discrete Choice Estimation Problems and Simulation Method Solutions," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 695-702, November.
    40. Gihoon Hong, 2016. "Examining the role of amenities in migration decisions: A structural estimation approach," Papers in Regional Science, Wiley Blackwell, vol. 95(4), pages 733-754, November.
    41. Geweke, John, 1996. "Monte carlo simulation and numerical integration," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 15, pages 731-800, Elsevier.
    42. Laura Mørch Andersen, 2014. "Obtaining Reliable Likelihood Ratio Tests from Simulated Likelihood Functions," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-12, October.
    43. Sims, Christopher A. & Zha, Tao, 2006. "Does Monetary Policy Generate Recessions?," Macroeconomic Dynamics, Cambridge University Press, vol. 10(2), pages 231-272, April.
    44. Dellaportas, Petros & Tsionas, Mike G., 2019. "Importance sampling from posterior distributions using copula-like approximations," Journal of Econometrics, Elsevier, vol. 210(1), pages 45-57.
    45. John Geweke, 1991. "Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments," Staff Report 148, Federal Reserve Bank of Minneapolis.
    46. Laura Mørch Andersen, 2013. "Obtaining reliable Likelihood Ratio tests from simulated likelihood functions," IFRO Working Paper 2013/1, University of Copenhagen, Department of Food and Resource Economics.
    47. Fredriksson, P., 1995. "The Dynamics of Regional Labour Markets and Active Labour Market Policy: Swedish Evidence," Papers 1995-20, Uppsala - Working Paper Series.
    48. Steel, M.F.J., 1988. "Seemingly unrelated regression equation systems under diffuse stochastic prior information : A recursive analytical approach," Discussion Paper 1988-5, Tilburg University, Center for Economic Research.
    49. Fofana, Abdulai & Jaffry, Shabbar, 2008. "Measuring Oligopsony Power of UK Salmon Retailers," Working Papers 61116, Scotland's Rural College (formerly Scottish Agricultural College), Land Economy & Environment Research Group.
    50. Eggleston, Jonathan, 2016. "An efficient decomposition of the expectation of the maximum for the multivariate normal and related distributions," Journal of Econometrics, Elsevier, vol. 195(1), pages 120-133.
    51. Steven Stern & John Pepper & David Dean & Robert Schmidt, 2011. "The Effects of Vocational Rehabilitation for People with Mental Illlness," Virginia Economics Online Papers 382, University of Virginia, Department of Economics.
    52. John Hsu & Tom Leonard & Kam-Wah Tsui, 1991. "Statistical inference for multiple choice tests," Psychometrika, Springer;The Psychometric Society, vol. 56(2), pages 327-348, June.
    53. Lastrapes, W. D., 1998. "International evidence on equity prices, interest rates and money," Journal of International Money and Finance, Elsevier, vol. 17(3), pages 377-406, June.
    54. Jean‐François Angers & Duncan K. H. Fong, 1994. "Estimating moments of the minimum order statistic from normal populations—a bayesian approach," Naval Research Logistics (NRL), John Wiley & Sons, vol. 41(7), pages 1007-1017, December.
    55. Abigail Tiffin & Richard Tiffin, 1999. "Estimates of Food Demand Elasticities for Great Britain: 1972–1994," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(1), pages 140-147, January.
    56. Dorfman, Jeffrey H., 1995. "A numerical bayesian test for cointegration of AR processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 289-324.
    57. Lence, Sergio H., 2008. "How Much Can We Learn About Producers' Utility Functions from Their Production Data?," 2008 Agricultural and Rural Finance Markets in Transition, September 25-26, 2008, Kansas City, Missouri 119534, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
    58. Dean, David & Pepper, John & Schmidt, Robert & Stern, Steven, 2019. "The effects of youth transition programs on labor market outcomes of youth with disabilities," Economics of Education Review, Elsevier, vol. 68(C), pages 68-88.
    59. Vijverberg, Wim P. M., 1997. "Monte Carlo evaluation of multivariate normal probabilities," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 281-307.
    60. Christopher M Clapp & Steven Stern & Steven Dan Yu, 2017. "Interactions of Public Paratransit and Vocational Rehabilitation," Department of Economics Working Papers 17-12, Stony Brook University, Department of Economics.
    61. Dorfman, Jeffrey H. & McIntosh, Christopher S., 2001. "Imposing inequality restrictions: efficiency gains from economic theory," Economics Letters, Elsevier, vol. 71(2), pages 205-209, May.
    62. Michelle Sovinsky Goeree, 2005. "Advertising in the US Personal Computer Industry," Industrial Organization 0503002, University Library of Munich, Germany.
    63. Nadine Herrard & Yves Le Roux & Yves Surry & . Département d'Ecnomie Et de Sociologie Rurales, Rennes, 1996. "A bayesian analysis of trade in agri-food products : an application to France," Post-Print hal-02354663, HAL.

  41. Geweke, John, 1988. "Comment on Poirer: Operational Bayesian Methods in Econometrics," Journal of Economic Perspectives, American Economic Association, vol. 2(1), pages 159-166, Winter.

    Cited by:

    1. Peter C.B. Phillips, 1991. "The Long-Run Australian Consumption Function Reexamined: An Empirical Exercise in Bayesian Influence," Cowles Foundation Discussion Papers 1000, Cowles Foundation for Research in Economics, Yale University.

  42. Geweke, John, 1988. "The Secular and Cyclical Behavior of Real GDP in 19 OECD Countries, 1957-1983," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(4), pages 479-486, October.

    Cited by:

    1. John Geweke, 2016. "Sequentially Adaptive Bayesian Learning for a Nonlinear Model of the Secular and Cyclical Behavior of US Real GDP," Econometrics, MDPI, vol. 4(1), pages 1-23, March.
    2. Magris Martin & Iosifidis Alexandros, 2021. "Approximate Bayes factors for unit root testing," Papers 2102.10048, arXiv.org, revised Feb 2021.
    3. Dorfman, Jeffrey H. & Park, Myung D., 2009. "Looking for Cattle and Hog Cycles through a Bayesian Window," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49278, Agricultural and Applied Economics Association.
    4. David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2017. "Bayesian Assessment of Lorenz and Stochastic Dominance," Department of Economics - Working Papers Series 2029, The University of Melbourne.
    5. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    6. Carter Richard A. L. & Zellner Arnold, 2004. "The ARAR Error Model for Univariate Time Series and Distributed Lag," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(1), pages 1-44, March.
    7. Griffiths, W.E., 2001. "Bayesian Inference in the Seemingly Unrelated Regressions Models," Department of Economics - Working Papers Series 793, The University of Melbourne.
    8. Dorfman, Jeffrey H. & McIntosh, Christopher S., 2001. "Imposing inequality restrictions: efficiency gains from economic theory," Economics Letters, Elsevier, vol. 71(2), pages 205-209, May.

  43. Froeb, Luke & Geweke, John, 1987. "Long run competition in the U.S. aluminum industry," International Journal of Industrial Organization, Elsevier, vol. 5(1), pages 67-78, March.

    Cited by:

    1. Kjersti-Gro Lindquist, 1998. "The Response by the Norwegian Aluminium Industry to Changing Market Structure," Discussion Papers 237, Statistics Norway, Research Department.
    2. Andrés Felipe Martínez, 2006. "Determinantes de la supervivencia de empresas industriales en el área metropolitana de Cali 1994-2003," Ensayos Sobre Economía Regional (ESER) 2320, Banco de la República - Economía Regional.
    3. Jiawei Chen, 2006. "The Effects of Mergers with Dynamic Capacity Accumulation," Working Papers 060701, University of California-Irvine, Department of Economics.
    4. Lindquist, Kjersti-Gro, 2001. "The response by the Norwegian aluminium industry to changing market structure," International Journal of Industrial Organization, Elsevier, vol. 19(1-2), pages 79-98, January.
    5. Yang, Sheng-Ping, 2005. "Market power and cost efficiency: the case of the US aluminum industry," Resources Policy, Elsevier, vol. 30(2), pages 101-106, June.
    6. Andrés Felipe Martínez, 2006. "Determinantes de la supervivencia de empresas industriales en el área metropolitana de Cali 1994-2003," Ensayos sobre Economía Regional (ESER) 41, Banco de la Republica de Colombia.
    7. Isabel Figuerola-Ferretti, 2005. "Prices and production cost in aluminium smelting in the short and the long run," Applied Economics, Taylor & Francis Journals, vol. 37(8), pages 917-928.

  44. Geweke, John & Marshall, Robert C & Zarkin, Gary A, 1986. "Mobility Indices in Continuous Time Markov Chains," Econometrica, Econometric Society, vol. 54(6), pages 1407-1423, November.

    Cited by:

    1. Quah, Danny, 1994. "One business cycle and one trend from (many,) many disaggregates," European Economic Review, Elsevier, vol. 38(3-4), pages 605-614, April.
    2. Roberta Colavecchio & Declan Curran & Michael Funke, 2005. "Drifting Together or Falling Apart? The Empirics of Regional Economic Growth in Post-Unification Germany," CESifo Working Paper Series 1533, CESifo.
    3. Krebs, Tom & Krishna, Pravin & Maloney, William F., 2013. "Income Mobility and Welfare," Working Papers 13-02, University of Mannheim, Department of Economics.
    4. Jesús Peiró-Palomino & William Orlando Prieto-Bustos & Emili Tortosa-Ausina, 2020. "Weighted convergence in Colombian departments: The role of geography and demography," Working Papers 2020/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    5. Cowell, Frank & Schluter, Christian, 1998. "Measuring income mobility with dirty data," LSE Research Online Documents on Economics 2079, London School of Economics and Political Science, LSE Library.
    6. Ira N. Gang & Myeong-Su Yun & John Landon-Lane, 2002. "Gender Differences in German Upward Income Mobility," Departmental Working Papers 200221, Rutgers University, Department of Economics.
    7. Jesús Peiró-Palomino & William Orlando Prieto-Bustos & Emili Tortosa-Ausina, 2023. "Regional income convergence in Colombia: population, space, and long-run dynamics," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 70(2), pages 559-601, April.
    8. Jafry, Yusuf & Schuermann, Til, 2004. "Measurement, estimation and comparison of credit migration matrices," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2603-2639, November.
    9. Robert Aebi & Klaus Neusser & Peter Steiner, 2004. "Equilibrium Mobility," Diskussionsschriften dp0408, Universitaet Bern, Departement Volkswirtschaft.
    10. Schluter, C, 1996. "On the Non-Stationarity of German Income Mobility (and Some Observations on Poverty Dynamics)," Economics Working Papers eco96/35, European University Institute.
    11. Florens, J.-P. & Fougère, D. & Kamionka, T. & Mouchart, M., 1994. "La modélisation économétrique des transitions individuelles sur le marché du travail," LIDAM Reprints CORE 1138, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    12. Krebs, Tom & Krishna, Pravin & Maloney, William F., 2012. "Income risk, income mobility and welfare," Policy Research Working Paper Series 6254, The World Bank.
    13. Kruger, Jens J., 2005. "Structural change in U.S. manufacturing: Stationarity and intra-distributional changes," Economics Letters, Elsevier, vol. 87(3), pages 387-392, June.
    14. Herrerias, M.J., 2012. "CO2 weighted convergence across the EU-25 countries (1920–2007)," Applied Energy, Elsevier, vol. 92(C), pages 9-16.
    15. Jeroen Hinloopen & Charles Marrewijk, 2001. "On the empirical distribution of the Balassa index," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 137(1), pages 1-35, March.
    16. Bosch, Mariano & Goni Pacchioni, Edwin & Maloney, William F., 2007. "The Determinants of Rising Informality in Brazil: Evidence from Gross Worker Flows," IZA Discussion Papers 2970, Institute of Labor Economics (IZA).
    17. Fields, Gary S & Buchinsky, Mosche & Kramarz, Francis & Fougère, Denis, 2003. "Francs or Ranks? Earnings Mobility in France, 1967-1999," CEPR Discussion Papers 3937, C.E.P.R. Discussion Papers.
    18. Schechtman, Ricardo, 2013. "Default matrices: A complete measurement of banks’ consumer credit delinquency," Journal of Financial Stability, Elsevier, vol. 9(4), pages 460-474.
    19. Arnold Csonka & Štefan Bojnec & Imre Fertő, 2021. "Spatial Transformation of the Pig Sector in Hungary and Slovenia: A Comparative Analysis," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
    20. Jeroen Hinloopen & Charles van Marrewijk, 2004. "Dynamics of Chinese Comparative Advantage," Tinbergen Institute Discussion Papers 04-034/2, Tinbergen Institute.
    21. Sumon Bhaumik & John S. Landon-Lane, 2007. "Directional Mobility of Ratings," William Davidson Institute Working Papers Series wp900, William Davidson Institute at the University of Michigan.
    22. Fertő, Imre, 2017. "Global agri-food trade competitiveness: gross versus value added exports," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258653, Agricultural Economics Society.
    23. Maria Luisa Mancusi, 2000. "The Dynamics of Technology in Industrial Countries," KITeS Working Papers 118, KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy, revised Nov 2000.
    24. Imre Ferto, 2007. "The Dynamics of Trade in Central and Eastern European Countries," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 5(1), pages 5-23.
    25. Márcio Laurini & Eduardo Andrade, 2004. "Income Convergence Clubs for Brazilian Municipalities: a Non-Parametric Analysis," Econometric Society 2004 Latin American Meetings 51, Econometric Society.
    26. Bönke, Timm & Neidhöfer, Guido, 2015. "Parental background matters: Intergenerational mobility and assimilation of Italian immigrants in Germany," Discussion Paper Series of SFB/TR 15 Governance and the Efficiency of Economic Systems 502, Free University of Berlin, Humboldt University of Berlin, University of Bonn, University of Mannheim, University of Munich.
    27. Kawagoe, Masaaki, 1999. "Regional Dynamics in Japan: A Reexamination of Barro Regressions," Journal of the Japanese and International Economies, Elsevier, vol. 13(1), pages 61-72, March.
    28. Maria Mancusi, 2001. "Technological specialization in industrial countries: Patterns and dynamics," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 137(4), pages 593-621, December.
    29. Danny Quah, 1992. "Empirical cross-section dynamics in economic growth," Discussion Paper / Institute for Empirical Macroeconomics 75, Federal Reserve Bank of Minneapolis.
    30. Jeroen Hinloopen & Charles van Marrewijk, 2005. "Comparing Distributions: The Harmonic Mass Index," Tinbergen Institute Discussion Papers 05-122/1, Tinbergen Institute, revised 30 Dec 2005.
    31. Bosch, Mariano & Maloney, William, 2007. "Comparative analysis of labor market dynamics using markov processes : an application to informality," Policy Research Working Paper Series 4429, The World Bank.
    32. Yusuf Jafry & Til Schuermann, 2003. "Metrics for Comparing Credit Migration Matrices," Center for Financial Institutions Working Papers 03-09, Wharton School Center for Financial Institutions, University of Pennsylvania.
    33. Sierdjan Koster & André Stel & Mickey Folkeringa, 2012. "Start-ups as drivers of market mobility: an analysis at the region–sector level for The Netherlands," Small Business Economics, Springer, vol. 39(3), pages 575-585, October.
    34. Stolpe, Michael, 1995. "Technology and the dynamics of specialization in open economies," Open Access Publications from Kiel Institute for the World Economy 738, Kiel Institute for the World Economy (IfW Kiel).
    35. Bojnec, Štefan & Fertő, Imre, 2014. "Forestry industry trade by degree of wood processing in the enlarged European Union countries," Forest Policy and Economics, Elsevier, vol. 40(C), pages 31-39.
    36. George Hammond & Eric Thompson, 2002. "Mobility and Modality Trends in US State Personal Income," Regional Studies, Taylor & Francis Journals, vol. 36(4), pages 375-387.
    37. Saul Lach, 2002. "Existence and Persistence of Price Dispersion: an Empirical Analysis," NBER Working Papers 8737, National Bureau of Economic Research, Inc.
    38. Hofer, Helmut & Weber, Andrea, 2002. "Wage mobility in Austria 1986-1996," Labour Economics, Elsevier, vol. 9(4), pages 563-577, September.
    39. Rodrigo García Verdú, 2005. "Income, Mortality, and Literacy Distribution Dynamics Across States in Mexico: 1940-2000," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 42(125), pages 165-192.
    40. Quah, Danny, 1996. "Aggregate and regional disaggregate fluctuations," LSE Research Online Documents on Economics 2081, London School of Economics and Political Science, LSE Library.
    41. Trueck, Stefan & Rachev, Svetlozar T., 2008. "Rating Based Modeling of Credit Risk," Elsevier Monographs, Elsevier, edition 1, number 9780123736833.
    42. Bakucs, Lajos Zoltan & Ferto, Imre & Fogarasi, Jozsef & Latruffe, Laure & Desjeux, Yann & Matveev, Eduard & Marongiu, Sonia & Dolman, Mark & Soboh, Rafat, 2011. "EU farms’ technical efficiency and productivity change in 1990 – 2006," 85th Annual Conference, April 18-20, 2011, Warwick University, Coventry, UK 108773, Agricultural Economics Society.
    43. Elena Kalotychou & Ana-Maria Fuertes, 2006. "On Sovereign Credit Migration: A Study of Alternative Estimators and Rating Dynamics," Computing in Economics and Finance 2006 509, Society for Computational Economics.
    44. Jongeneel, Roelof A. & Tonini, Axel, 2008. "Dairy Quota and Farm Structural Change: A Case Study on the Netherlands," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6692, European Association of Agricultural Economists.
    45. Redding, Stephen, 2002. "Specialization dynamics," LSE Research Online Documents on Economics 210, London School of Economics and Political Science, LSE Library.
    46. Areski Cousin & Mohamed Reda Kheliouen, 2016. "A comparative study on the estimation of factor migration models," Working Papers halshs-01351926, HAL.
    47. Stolpe, Michael, 2003. "Distribution dynamics in European venture capital," Kiel Working Papers 1191, Kiel Institute for the World Economy (IfW Kiel).
    48. Pietro Garibaldi, "undated". "Job Flows and Plant Size Dynamics: Traditional Measures and Alternative Econometric Techniques," Working Papers 99, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    49. de Figueiredo, Erik Alencar & Ziegelmann, Flávio Augusto, 2010. "Estimating income mobility using census data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4897-4903.
    50. Karpinska, Lilia & Śmiech, Sławomir, 2021. "Breaking the cycle of energy poverty. Will Poland make it?," Energy Economics, Elsevier, vol. 94(C).
    51. Ruiz-Castillo, Javier, 1997. "Income mobility, permutations, and rerankings," UC3M Working papers. Economics 6070, Universidad Carlos III de Madrid. Departamento de Economía.
    52. Koutras, Vasileios M. & Drakos, Konstantinos, 2013. "A migration approach for USA banks' capitalization: Are the 00s the same with the 90s?," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 131-140.
    53. George W. Hammond & Eric Thompson, 2006. "Convergence and Mobility: Personal Income Trends in U.S. Metropolitan and Nonmetropolitan Regions," International Regional Science Review, , vol. 29(1), pages 35-63, January.
    54. George W. Hammond & Eric C. Thompson, 2010. "Divergence and Mobility in College sag Attainment Across U.S. Labor Market Areas: 1970—2000," International Regional Science Review, , vol. 33(4), pages 397-420, October.
    55. Malcolm Keswell, 2004. "Non‐Linear Earnings Dynamics In Post‐Apartheid South Africa," South African Journal of Economics, Economic Society of South Africa, vol. 72(5), pages 913-939, December.
    56. Heckman, James J. & Raut, Lakshmi K., 2016. "Intergenerational long-term effects of preschool-structural estimates from a discrete dynamic programming model," Journal of Econometrics, Elsevier, vol. 191(1), pages 164-175.
    57. Arribas Fernández Iván & Pérez García Francisco & Tortosa-Ausina Emili, 2008. "On the Dynamics of Globalization," Working Papers 201088, Fundacion BBVA / BBVA Foundation.
    58. Gordon Anderson, 2018. "Measuring Aspects of Mobility, Polarization and Convergence in the Absence of Cardinality: Indices Based Upon Transitional Typology," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 887-907, October.
    59. Frank A Cowell & Christian Schluter, 1998. "Measuring Income Mobility with Dirty Data (published in Ethnic and Racial Studies, 22(3), May 1999)," CASE Papers 016, Centre for Analysis of Social Exclusion, LSE.
    60. Robert Aebi & Klaus Neusser & Peter Steiner, 2005. "A Large Deviation Approach to the Measurement of Mobility," Diskussionsschriften dp0518, Universitaet Bern, Departement Volkswirtschaft.
    61. Stolpe, Michael, 1994. "Technology and empirical dynamics of specialization in open economies," Kiel Working Papers 637, Kiel Institute for the World Economy (IfW Kiel).
    62. Herrerias, M.J., 2012. "World energy intensity convergence revisited: A weighted distribution dynamics approach," Energy Policy, Elsevier, vol. 49(C), pages 383-399.
    63. Fertő, Imre & Hubbard, Lionel J., 2005. "Az agrárkereskedelem dinamikája - A csatlakozó országok esete [The dynamics of agri-food trade patterns - the accession countries case]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 24-38.
    64. Ira N. Gang & Ksennia Gatskova & John Landon Lane & Myeong-Su Yun, 2016. "Vulnerability to Poverty: Tajikistan during and after the Global Financial Crisis," Departmental Working Papers 201608, Rutgers University, Department of Economics.
    65. Ballis, Antonis & Drakos, Konstantinos, 2020. "A Markov Chain Analysis for Capitalization Dynamics in the Cryptocurrency Market," MPRA Paper 109329, University Library of Munich, Germany.
    66. Til Schuermann & Yusuf Jafry, 2003. "Measurement and Estimation of Credit Migration Matrices," Center for Financial Institutions Working Papers 03-08, Wharton School Center for Financial Institutions, University of Pennsylvania.
    67. Denis Fougère & Thierry Kamionka, 2003. "Bayesian inference for the mover-stayer model in continuous time with an application to labour market transition data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(6), pages 697-723.
    68. Glauben, Thomas & Herzfeld, Thomas & Rozelle, Scott & Wang, Xiaobing, 2012. "Persistent Poverty in Rural China: Where, Why, and How to Escape?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 40(4), pages 784-795.
    69. Leone, Tharcisio, 2021. "The gender gap in intergenerational mobility," World Development Perspectives, Elsevier, vol. 21(C).
    70. LE GALLO, Julie, 2001. "Space-time analysis of GDP disparities among European regions: A Markov chains approach," LATEC - Document de travail - Economie (1991-2003) 2001-06, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    71. Danny Quah, 1996. "Aggregate and Regional Disaggregate Fluctuations," CEP Discussion Papers dp0275, Centre for Economic Performance, LSE.
    72. D'Amico, Guglielmo & Di Biase, Giuseppe & Manca, Raimondo, 2012. "Income inequality dynamic measurement of Markov models: Application to some European countries," Economic Modelling, Elsevier, vol. 29(5), pages 1598-1602.
    73. Ana Lamo, 2000. "On convergence empirics: same evidence for Spanish regions," Investigaciones Economicas, Fundación SEPI, vol. 24(3), pages 681-707, September.
    74. M. Herrerías, 2012. "Weighted convergence and regional growth in China: an alternative approach (1952–2008)," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(3), pages 685-718, December.
    75. Stephen Redding, 1997. "Persistence and Mobility in International TradeName: James Proudman," Bank of England working papers 64, Bank of England.
    76. Maria Luisa Mancusi, 2003. "Geographical concentration and the dynamics of countries' specialization in technologies," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(3), pages 269-291.
    77. Iván Arribas & Francisco Pérez & Emili Tortosa-Ausina, 2014. "The dynamics of international trade integration: 1967–2004," Empirical Economics, Springer, vol. 46(1), pages 19-41, February.
    78. Leone, Tharcisio, 2017. "The gender gap in intergenerational mobility: Evidence of educational persistence in Brazil," Discussion Papers 2017/27, Free University Berlin, School of Business & Economics.
    79. Birchenall, Javier A., 2001. "Income distribution, human capital and economic growth in Colombia," Journal of Development Economics, Elsevier, vol. 66(1), pages 271-287, October.
    80. Bakucs, Lajos Zoltan & Ferto, Imre & Latruffe, Laure & Desjeux, Yann & Soboh, Rafat & Dolman, Mark, 2011. "Comparative Analysis of Technical Efficiency in European Agriculture," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114235, European Association of Agricultural Economists.
    81. Geroski, P. A. & Toker, S., 1996. "The turnover of market leaders in UK manufacturing industry, 1979-86," International Journal of Industrial Organization, Elsevier, vol. 14(2), pages 141-158.
    82. Diego Víctor de Mingo-López & Juan Carlos Matallín-Sáez & Amparo Soler-Domínguez & Huseyin Ozturk & Emili Tortosa-Ausina, 2023. "Persistence versus mobility of sociallyresponsible funds: intra-distribution dynamics and mobility trends," Working Papers 2023/09, Economics Department, Universitat Jaume I, Castellón (Spain).
    83. Štefan Bojnec & Imre Fertő, 2008. "European Enlargement and Agro‐Food Trade," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 56(4), pages 563-579, December.
    84. Paapaa, Richard & van Dijk, Herman K., 1998. "Distribution and mobility of wealth of nations," European Economic Review, Elsevier, vol. 42(7), pages 1269-1293, July.
    85. Cowell, Frank & Schluter, Christian, 1998. "Income mobility : a robust approach," LSE Research Online Documents on Economics 2210, London School of Economics and Political Science, LSE Library.
    86. Brännäs, Kurt, 1998. "Forecasting the Size Distribution of Financial Plants in Swedish Municipalities," Umeå Economic Studies 478, Umeå University, Department of Economics.
    87. Jeroen Hinloopen, 2003. "Innovation performance across Europe," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 12(2), pages 145-161.
    88. C. Ferretti & P. Ganugi, 2013. "A new mobility index for transition matrices," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 22(3), pages 403-425, August.
    89. Pavla Nikolovova & Filip Pertold & Mario Vozar, 2014. "Self-employment and Small Workplaces in the Czech and Slovak Republics: Microeconometric Analysis of Labor Force Transitions," Proceedings of Economics and Finance Conferences 0402132, International Institute of Social and Economic Sciences.
    90. Frank A Cowell & Christian Schluter, 1998. "Income Mobility: A Robust Approach (published in Income Inequality Measurement: From Theory to Practice, J Silber (ed, Dewenter: Kluver , 1999)," STICERD - Distributional Analysis Research Programme Papers 37, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

  45. Geweke, John, 1986. "Exact Inference in the Inequality Constrained Normal Linear Regression Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(2), pages 127-141, April.

    Cited by:

    1. Ryu, Hang K. & Slottje, Daniel J., 1996. "Two flexible functional form approaches for approximating the Lorenz curve," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 251-274.
    2. Chalfant, James & White, Kenneth, 1987. "Estimation and Testing in Demand Systems with Concavity Constraints," CUDARE Working Papers 198466, University of California, Berkeley, Department of Agricultural and Resource Economics.
    3. Chalfant, James & Gray, Richard & White, Kenneth, 1989. "Evaluating Prior Beliefs in a Demand System: The Case of Meats Demand in Canada," CUDARE Working Papers 198485, University of California, Berkeley, Department of Agricultural and Resource Economics.
    4. Alejandro Onofri & Lilyan E. Fulginiti, 2005. "Public Inputs and Productivty in the Agricultural Sector: A Dynamic Dual Approach," Others 0502011, University Library of Munich, Germany.
    5. Francois, Joseph & Woerz, Julia, 2009. "Non-linear panel estimation of import quotas: The evolution of quota premiums under the ATC," Journal of International Economics, Elsevier, vol. 78(2), pages 181-191, July.
    6. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June.
    7. G. Christodoulakis & E. Mamatzakis, 2010. "Return attribution analysis of the UK insurance portfolios," Annals of Finance, Springer, vol. 6(3), pages 405-420, July.
    8. Goodwin, Barry K. & Harper, Daniel & Schnepf, Randy, 2003. "Short-Run Demand Relationships in the U.S. Fats and Oils Complex," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 35(1), pages 171-184, April.
    9. Arias, Jonas E. & Rubio-Ramírez, Juan F. & Waggoner, Daniel F., 2014. "Inference Based on SVARs Identified with Sign and Zero Restrictions: Theory and Applications," Dynare Working Papers 30, CEPREMAP.
    10. VAN DIJK, Herman K., 1987. "Some advances in Bayesian estimations methods using Monte Carlo Integration," LIDAM Reprints CORE 783, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    11. Fernandez-Cornejo, Jorge, 1992. "Short- And Long-Run Demand And Substitution Of Agricultural Inputs," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 21(1), pages 1-14, April.
    12. Christopher J. O'Donnell & Alicia N. Rambaldi & Howard E. Doran, 2001. "Estimating economic relationships subject to firm- and time-varying equality and inequality constraints," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(6), pages 709-726.
    13. Steel, M.F.J., 1991. "Bayesian inference in time series," Discussion Paper 1991-53, Tilburg University, Center for Economic Research.
    14. Marsh, Thomas L. & Featherstone, Allen M. & Garrett, Thomas A., 2003. "Input Inefficiency in Commercial Banks: A Normalized Quadratic Input Distance Approach," 2003 Regional Committee NCT-194, October 6-7, 2003; Kansas City, Missouri 132520, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
    15. Shen, Edward Z. & Perloff, Jeffrey M., 2001. "Maximum entropy and Bayesian approaches to the ratio problem," Journal of Econometrics, Elsevier, vol. 104(2), pages 289-313, September.
    16. van Dijk, H. K. & Hop, J. P. & Louter, A. S., 1986. "An Algorithm For The Computation Of Posterior Moments And Densities Using Simple Importance Sampling," Econometric Institute Archives 272354, Erasmus University Rotterdam.
    17. Griffiths, William E. & Newton, Lisa S. & O'Donnell, Christopher J., 2010. "Predictive densities for models with stochastic regressors and inequality constraints: Forecasting local-area wheat yield," International Journal of Forecasting, Elsevier, vol. 26(2), pages 397-412, April.
    18. Caroline Khan & Mike G. Tsionas, 2021. "Constraints in models of production and cost via slack-based measures," Empirical Economics, Springer, vol. 61(6), pages 3347-3374, December.
    19. Kesavan, Thulasiram, 1988. "Monte Carlo experiments of market demand theory," ISU General Staff Papers 198801010800009854, Iowa State University, Department of Economics.
    20. A. P. Moxey & B. White & R. A. Sanderson & S. P. Rushton, 1995. "An Approach To Linking An Ecological Vegetation Model To An Agricultural Economic Model," Journal of Agricultural Economics, Wiley Blackwell, vol. 46(3), pages 381-397, September.
    21. Koop, Gary & Poirier, Dale J., 2004. "Bayesian variants of some classical semiparametric regression techniques," Journal of Econometrics, Elsevier, vol. 123(2), pages 259-282, December.
    22. Assaf, A. George & Gillen, David & Barros, Carlos, 2012. "Performance assessment of UK airports: Evidence from a Bayesian dynamic frontier model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(3), pages 603-615.
    23. Tai-Hsin Huang & Yi-Huang Chiu & Chih-Ying Mao, 2021. "Imposing Regularity Conditions to Measure Banks’ Productivity Changes in Taiwan Using a Stochastic Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(2), pages 273-303, June.
    24. Michaelides, Panayotis G. & Tsionas, Efthymios G. & Vouldis, Angelos T. & Konstantakis, Konstantinos N., 2015. "Global approximation to arbitrary cost functions: A Bayesian approach with application to US banking," European Journal of Operational Research, Elsevier, vol. 241(1), pages 148-160.
    25. Onofri, Alejandro & Fulginiti, Lilyan E., 2001. "Public Inputs and Endogenous Growth in the Agricultural Sector: a Dynamic Dual Approach," 2001 Annual meeting, August 5-8, Chicago, IL 20438, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    26. Bosch, Mariano & Maloney, William, 2007. "Comparative analysis of labor market dynamics using markov processes : an application to informality," Policy Research Working Paper Series 4429, The World Bank.
    27. Chotikapanich, Duangkamon & Griffiths, William E., 2000. "Flexible Distributed Lags," 2000 Conference (44th), January 23-25, 2000, Sydney, Australia 123623, Australian Agricultural and Resource Economics Society.
    28. Ingco, Merlinda D., 1990. "Changes in food consumption patterns in the Republic of Korea," Policy Research Working Paper Series 506, The World Bank.
    29. Romeo, Charles J., 1997. "Measuring information loss due to inconsistencies in duration data from longitudinal surveys," Journal of Econometrics, Elsevier, vol. 78(2), pages 159-177, June.
    30. Marsh, Thomas L. & Featherstone, Allen M., 2003. "Inverse Demand Relationships For Wheat Food Use By Class," 2003 Annual meeting, July 27-30, Montreal, Canada 22001, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    31. Hop, J. P. & van Duk, H. K., 1990. "Two Algorithms For The Computation Of Posterior Moments And Densities Using Monte Carlo Integration," Econometric Institute Archives 272483, Erasmus University Rotterdam.
    32. Hanrahan, Kevin F. & Westhoff, Patrick C. & Young, Robert E., II, 2001. "Trade Allocation Modeling: Comparing The Results From Armington And Locally Regular Ai Demand System Specifications Of A Uk Beef Import Demand Allocation Model," 2001 Annual meeting, August 5-8, Chicago, IL 20510, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    33. Griffiths, William E., 1988. "Bayesian Econometrics and How to Get Rid of Those Wrong Signs," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 56(01), pages 145-145, April.
    34. Caputo, Michael R., 2011. "A nearly complete test of a capital accumulating, vertically integrated, nonrenewable resource extracting theory of a competitive firm," Resource and Energy Economics, Elsevier, vol. 33(3), pages 725-744, September.
    35. Frazis, Harley & Loewenstein, Mark A., 2003. "Estimating linear regressions with mismeasured, possibly endogenous, binary explanatory variables," Journal of Econometrics, Elsevier, vol. 117(1), pages 151-178, November.
    36. Mamatzakis, E & Christodoulakis, G, 2010. "A Bayesian Markov Chain Approach Using Proportions Labour Market Data for Greek Regions," MPRA Paper 24637, University Library of Munich, Germany.
    37. Sadorsky, P. A., 1989. "Measuring Resource Scarcity in Non-renewable Resources with Inequality Constrained Estimation," Queen's Institute for Economic Research Discussion Papers 275216, Queen's University - Department of Economics.
    38. Michelle R. Danaher & Anindya Roy & Zhen Chen & Sunni L. Mumford & Enrique F. Schisterman, 2012. "Minkowski--Weyl Priors for Models With Parameter Constraints: An Analysis of the BioCycle Study," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(500), pages 1395-1409, December.
    39. Caputo, Michael R. & Paris, Quirino, 2004. "An Atemporal Microeconomic Theory And An Empirical Test Of Price-Induced Technical Progress," Working Papers 11992, University of California, Davis, Department of Agricultural and Resource Economics.
    40. David Lander & David Gunawan & William Griffiths & Duangkamon Chotikapanich, 2017. "Bayesian Assessment of Lorenz and Stochastic Dominance," Department of Economics - Working Papers Series 2029, The University of Melbourne.
    41. Ryu, Hang Keun, 2011. "Subjective model selection rules versus passive model selection rules," Economic Modelling, Elsevier, vol. 28(1), pages 459-472.
    42. O'Donnell, C.J., 2014. "Technologies, Markets and Behaviour: Some Implications for Estimating Efficiency and Productivity Change," 2014 Conference (58th), February 4-7, 2014, Port Macquarie, Australia 165867, Australian Agricultural and Resource Economics Society.
    43. Marcelle Chauvet & Chinhui Juhn & Simon M. Potter, 2001. "Markov switching in disaggregate unemployment rates," Staff Reports 132, Federal Reserve Bank of New York.
    44. Geweke, John & Keane, Michael P & Runkle, David, 1994. "Alternative Computational Approaches to Inference in the Multinomial Probit Model," The Review of Economics and Statistics, MIT Press, vol. 76(4), pages 609-632, November.
    45. Ahmad, Shabbir & Shankar, Sriram & Steen, John & Verreynne, Martie-Louise & Burki, Abid Aman, 2021. "Using measures of efficiency for regionally-targeted smallholder policy intervention: The case of Pakistan’s horticulture sector," Land Use Policy, Elsevier, vol. 101(C).
    46. Jakir Hussain & Jean-Thomas Bernard, 2016. "Flexible Functional Forms and Curvature Conditions: Parametric Productivity Estimation in Canadian and U.S. Manufacturing Industries," Working Papers 1612e, University of Ottawa, Department of Economics.
    47. Assaf, A. George & Josiassen, Alexander & Ratchford, Brian T. & Barros, Carlos Pestana, 2012. "Internationalization and Performance of Retail Firms: A Bayesian Dynamic Model," Journal of Retailing, Elsevier, vol. 88(2), pages 191-205.
    48. Richard T. Carson & Mikołaj Czajkowski, 2018. "A New Baseline Model for Estimating Willingness to Pay from Discrete Choice Models," Working Papers 2018-04, Faculty of Economic Sciences, University of Warsaw.
    49. Ryu, Hang Keun, 2011. "Subjective model selection rules versus passive model selection rules," Economic Modelling, Elsevier, vol. 28(1-2), pages 459-472, January.
    50. Griffiths, William E. & Newton, Lisa S. & O'Donnell, Christopher J., 2001. "Predictive Densities for Shire Level Wheat Yield in Western Australia," 2001 Conference (45th), January 23-25, 2001, Adelaide, Australia 125645, Australian Agricultural and Resource Economics Society.
    51. Geweke, John, 1996. "Monte carlo simulation and numerical integration," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 15, pages 731-800, Elsevier.
    52. Brett Day & Ian Bateman & Iain Lake, 2007. "Beyond implicit prices: recovering theoretically consistent and transferable values for noise avoidance from a hedonic property price model," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 37(1), pages 211-232, May.
    53. Tullio Gregori, 1998. "A Bayesian approach to analyze regional elasticities," ERSA conference papers ersa98p226, European Regional Science Association.
    54. Ghazalian, Pascal L. & Larue, Bruno & West, Gale E., 2009. "Best Management Practices to Enhance Water Quality: Who is Adopting Them?," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(3), pages 1-20, December.
    55. Andrew Moxey & Ben White, 1994. "Efficient Compliance With Agricultural Nitrate Pollution Standards," Journal of Agricultural Economics, Wiley Blackwell, vol. 45(1), pages 27-37, January.
    56. Heckelei, Thomas & Mittelhammer, Ronald C., 1996. "Bayesian Bootstrap Analysis of Systems of Equations," Discussion Papers 18786, University of Bonn, Institute for Food and Resource Economics.
    57. Ghosal, Rahul & Ghosh, Sujit K., 2022. "Bayesian inference for generalized linear model with linear inequality constraints," Computational Statistics & Data Analysis, Elsevier, vol. 166(C).
    58. Tae-Hwan Kim, 2005. "Asymptotic and Bayesian Confidence Intervals for Sharpe-Style Weights," Journal of Financial Econometrics, Oxford University Press, vol. 3(3), pages 315-343.
    59. George Assaf, A. & Barros, Carlos P. & Matousek, Roman, 2011. "Productivity and efficiency analysis of Shinkin banks: Evidence from bootstrap and Bayesian approaches," Journal of Banking & Finance, Elsevier, vol. 35(2), pages 331-342, February.
    60. Francesco Pattarin, 2018. "Spending Policies of Italian Banking Foundations," Centro Studi di Banca e Finanza (CEFIN) (Center for Studies in Banking and Finance) 0071, Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi".
    61. Paul Knottnerus, 2016. "On new variance approximations for linear models with inequality constraints," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 70(1), pages 26-46, February.
    62. Shui, Shangnan & Beghin, John C., 1990. "Technical Change And The Derived Demand For Cotton In The U.S. Textile Industry," 1990 Annual meeting, August 5-8, Vancouver, Canada 270881, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    63. Abigail Tiffin & Richard Tiffin, 1999. "Estimates of Food Demand Elasticities for Great Britain: 1972–1994," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(1), pages 140-147, January.
    64. Marsh, Thomas L., 2003. "Elasticities for U.S. Wheat Food Use by Class," 2003 Conference (47th), February 12-14, 2003, Fremantle, Australia 57920, Australian Agricultural and Resource Economics Society.
    65. Herve Guyomard & Chantal Le Mouël & U. Vasavada, 1993. "Applying duality theory in agricultural production economics as a basis of policy decision making [[Application de la théorie de la dualité en économie de la production agricole : utilisation pour ," Post-Print hal-02850915, HAL.
    66. Dorfman, Jeffrey H., 1995. "A numerical bayesian test for cointegration of AR processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 289-324.
    67. Bierkens, Joris & Bouchard-Côté, Alexandre & Doucet, Arnaud & Duncan, Andrew B. & Fearnhead, Paul & Lienart, Thibaut & Roberts, Gareth & Vollmer, Sebastian J., 2018. "Piecewise deterministic Markov processes for scalable Monte Carlo on restricted domains," Statistics & Probability Letters, Elsevier, vol. 136(C), pages 148-154.
    68. Wahl, Thomas Iver, 1989. "Modeling dynamic adjustment in Japanese livestock markets under trade liberalization," ISU General Staff Papers 1989010108000010093, Iowa State University, Department of Economics.
    69. Patrick Bajari & Jeremy T. Fox & Kyoo il Kim & Stephen P. Ryan, 2009. "A Simple Nonparametric Estimator for the Distribution of Random Coefficients," NBER Working Papers 15210, National Bureau of Economic Research, Inc.
    70. Knautz Henning, 2000. "Comparing Interval Restricted Estimators in Hedonic Pricing / Ein Vergleich intervallrestringierter Schätzverfahren in der hedonischen Preismessung," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 220(5), pages 552-564, October.
    71. C.J. O’Donnell, 2017. "Estimating Total Factor Productivity Change When No Price or Value-Share Data are Available," CEPA Working Papers Series WP012017, School of Economics, University of Queensland, Australia.
    72. Paris, Quirino & Caputo, Michael R., 2004. "A Nonlinear Generalized Additive Error Model of Production and Cost," Working Papers 93743, University of California, Davis, Department of Agricultural and Resource Economics.
    73. Tangian, Andranik, 2001. "Constructing a monotonic quadratic objective function in n variables from a few two-dimensional indifferences," European Journal of Operational Research, Elsevier, vol. 130(2), pages 276-304, April.
    74. Heckelei, Thomas & Mittelhammer, Ron C., 2003. "Bayesian bootstrap multivariate regression," Journal of Econometrics, Elsevier, vol. 112(2), pages 241-264, February.
    75. George Assaf, A., 2012. "Benchmarking the Asia Pacific tourism industry: A Bayesian combination of DEA and stochastic frontier," Tourism Management, Elsevier, vol. 33(5), pages 1122-1127.
    76. Vasilios Sogiakas, 2017. "On the implementation of asymmetric VaR models for managing and forecasting market risk," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(6), pages 1-2.
    77. Carson, Richard T & Murray, Jason H., 2012. "Fisheries Management Implications of Intrinsic Under Identification of Growth Equation Parameters," University of California at San Diego, Economics Working Paper Series qt8bw0b76s, Department of Economics, UC San Diego.
    78. Oh, Man-Suk, 1999. "Estimation of posterior density functions from a posterior sample," Computational Statistics & Data Analysis, Elsevier, vol. 29(4), pages 411-427, February.
    79. Dorfman, Jeffrey H. & McIntosh, Christopher S., 2001. "Imposing inequality restrictions: efficiency gains from economic theory," Economics Letters, Elsevier, vol. 71(2), pages 205-209, May.
    80. Romeo, Charles J, 1999. "Conducting Inference in Semiparametric Duration Models under Inequality Restrictions on the Shape of the Hazard Implied by Job Search Theory," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(6), pages 587-605, Nov.-Dec..
    81. Guyomard, Herve & Mahe, Louis Adrien Pascal, 1993. "Producer Behaviour Under Strict Rationing and Quai-Fixed Factors," Bulletins 7489, University of Minnesota, Economic Development Center.
    82. Hang Keun Ryu, 2003. "Choice of representation system for economic analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 10(13), pages 863-866.
    83. Christopher O`Donnell, 2014. "An Economic Approach to Identifying the Drivers of Productivity Change in the Market Sectors of the Australian Economy," CEPA Working Papers Series WP022014, School of Economics, University of Queensland, Australia.
    84. Lanclos, D. Kent & Devadoss, Stephen & Guenthner, Joseph F., 1997. "Impacts of Foreign Investment and Advertising on the Export Demand for U.S. Frozen Potatoes," 1997 Annual Meeting, July 13-16, 1997, Reno\ Sparks, Nevada 35757, Western Agricultural Economics Association.

  46. Geweke, John F, 1986. "The Superneutrality of Money in the United States: An Interpretation of the Evidence," Econometrica, Econometric Society, vol. 54(1), pages 1-21, January.

    Cited by:

    1. John Geweke, 1992. "Priors for macroeconomic time series and their application," Discussion Paper / Institute for Empirical Macroeconomics 64, Federal Reserve Bank of Minneapolis.
    2. Ben S. Bernanke & Ilian Mihov, 1998. "The Liquidity Effect and Long-Run Neutrality," NBER Working Papers 6608, National Bureau of Economic Research, Inc.
    3. Alfred A. Haug & Ian P. King, 2011. "Empirical Evidence on Inflation and Unemployment in the Long Run," Working Papers 1109, University of Otago, Department of Economics, revised Aug 2011.
    4. Ionel Birgean & Lutz Kilian, 2002. "Data-Driven Nonparametric Spectral Density Estimators For Economic Time Series: A Monte Carlo Study," Econometric Reviews, Taylor & Francis Journals, vol. 21(4), pages 449-476.
    5. Levent, Korap, 2007. "Testing quantity theory of money for the Turkish economy," MPRA Paper 21704, University Library of Munich, Germany.
    6. Dushko Josheski & Darko Lazarov, 2012. "Nominal Effective Exchange Rate Neutrality: The Case Of Macedonia," Journal Articles, Center For Economic Analyses, pages 17-24, June.
    7. Aksoy, Yunus & León-Ledesma, Miguel A., 2005. "Interest rates and output in the long-run," Working Paper Series 434, European Central Bank.
    8. Funk Peter & Kromen Bettina, 2010. "Inflation and Innovation-Driven Growth," The B.E. Journal of Macroeconomics, De Gruyter, vol. 10(1), pages 1-52, August.
    9. Tan Hui Boon & Baharumshah Ahmad Zubaidi, 1999. "Dynamic Causal Chain of Money, Output, Interest Rate and Prices in Malaysia: Evidence Based On Vector Error- Correction Modelling Analysis," International Economic Journal, Taylor & Francis Journals, vol. 13(1), pages 103-120.
    10. Jozef Barunik & Tomas Krehlik, 2015. "Measuring the frequency dynamics of financial connectedness and systemic risk," Papers 1507.01729, arXiv.org, revised Dec 2017.
    11. Mau-Ting Lin, 2004. "Measuring the effect of money: test, estimation and identification," Money Macro and Finance (MMF) Research Group Conference 2003 53, Money Macro and Finance Research Group.
    12. Assenmacher-Wesche, Katrin & Gerlach, Stefan, 2008. "Money growth, output gaps and inflation at low and high frequency: Spectral estimates for Switzerland," Journal of Economic Dynamics and Control, Elsevier, vol. 32(2), pages 411-435, February.
    13. Yoichi Gokan & Stephen J. Turnovsky, 2021. "Wealth and income inequality in a monetary economy," Economic Theory Bulletin, Springer;Society for the Advancement of Economic Theory (SAET), vol. 9(2), pages 225-245, October.
    14. Jiranyakul, Komain, 2009. "Relationship among Money, Prices and Aggregate Output in Thailand," MPRA Paper 46963, University Library of Munich, Germany.
    15. Alfred A. Haug & William G. Dewald, 2012. "Money, Output, And Inflation In The Longer Term: Major Industrial Countries, 1880–2001," Economic Inquiry, Western Economic Association International, vol. 50(3), pages 773-787, July.
    16. Behzad T. Diba & Seonghwan Oh, 1989. "Money, Inflation, and the Expected Real Interest Rate," UCLA Economics Working Papers 548, UCLA Department of Economics.
    17. Chengsi Zhang, 2013. "Monetary Dynamics of Inflation in China," The World Economy, Wiley Blackwell, vol. 36(6), pages 737-760, June.
    18. Koustas, Zisimos, 1998. "Canadian Evidence on Long-Run Neutrality Propositions," Journal of Macroeconomics, Elsevier, vol. 20(2), pages 397-411, April.
    19. Barunik, Jozef & Krehlik, Tomas, 2016. "Measuring the frequency dynamics of financial and macroeconomic connectedness," FinMaP-Working Papers 54, Collaborative EU Project FinMaP - Financial Distortions and Macroeconomic Performance: Expectations, Constraints and Interaction of Agents.
    20. Duo Qin, 2010. "Modelling of the Inflation-Unemployment Tradeoff from the Perspective of the History of Econometrics," Working Papers 661, Queen Mary University of London, School of Economics and Finance.
    21. Shyh-Wei Chen, 2007. "Evidence of the Long-Run Neutrality of Money: The Case of South Korea and Taiwan," Economics Bulletin, AccessEcon, vol. 3(64), pages 1-18.
    22. James B. Bullard, 1999. "Testing long-run monetary neutrality propositions: lessons from the recent research," Review, Federal Reserve Bank of St. Louis, vol. 81(Nov), pages 57-77.
    23. Geweke, J., 1989. "The Posterior Distribution Of Roots In Multivariate Autoregressions," Econometric Institute Archives 272392, Erasmus University Rotterdam.
    24. Satyajit Chatterjee, 1996. "Inflation, financial markets and capital formation - commentary," Proceedings, Federal Reserve Bank of St. Louis, vol. 78(May), pages 38-40.
    25. Feng Zhu, 2005. "The fragility of the Phillips curve: A bumpy ride in the frequency domain," BIS Working Papers 183, Bank for International Settlements.
    26. Levent, Korap, 2008. "Long-run relations between money, prices and output: the case of Turkey," MPRA Paper 20265, University Library of Munich, Germany.
    27. Paul De Grauwe & Magdalena Polan, 2005. "Is Inflation Always and Everywhere a Monetary Phenomenon?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 107(2), pages 239-259, June.
    28. Yijin He & Tadahiro Nakajima & Shigeyuki Hamori, 2019. "Connectedness Between Natural Gas Price and BRICS Exchange Rates: Evidence from Time and Frequency Domains," Energies, MDPI, vol. 12(20), pages 1-28, October.
    29. Amarasekara, Chandranath, 2008. "The Impact of Monetary Policy on Economic Growth and Inflation in Sri Lanka," MPRA Paper 64866, University Library of Munich, Germany.
    30. Chin-Hong Puah, & Muzafar Shah Habibullah & Kian-Ping Lim, 2006. "Testing Long-Run Neutrality Of Money: Evidence From Malaysian Stock Market," The IUP Journal of Applied Economics, IUP Publications, vol. 0(4), pages 15-37, July.
    31. Paul De Grauwe & Magdalena Polan, 2014. "Is Inflation always and Everywhere a Monetary Phenomenon?," World Scientific Book Chapters, in: Exchange Rates and Global Financial Policies, chapter 14, pages 357-382, World Scientific Publishing Co. Pte. Ltd..
    32. Peter Funk & Bettina Kromen, 2006. "Short-term price rigidity in an endogenous growth model: Non-Superneutrality and a non-vertical long-term Phillips-curve," Working Paper Series in Economics 29, University of Cologne, Department of Economics.
    33. George T. McCandless & Warren E. Weber, 1995. "Some monetary facts," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 19(Sum), pages 2-11.
    34. Lemmens, Aurélie & Croux, Christophe & Dekimpe, Marnik G., 2008. "Measuring and testing Granger causality over the spectrum: An application to European production expectation surveys," International Journal of Forecasting, Elsevier, vol. 24(3), pages 414-431.
    35. Homburg, Stefan, 2017. "A Study in Monetary Macroeconomics," OUP Catalogue, Oxford University Press, number 9780198807537.
    36. Gonzalo, J. & Ng, S., 1996. "A Systematic Framework for Analyzing the Dynamic Effects of Permanent and Transitory Shocks," Cahiers de recherche 9603, Universite de Montreal, Departement de sciences economiques.
    37. Robert G. King & Mark W. Watson, 1997. "Testing long-run neutrality," Economic Quarterly, Federal Reserve Bank of Richmond, issue Sum, pages 69-101.
    38. Stiassny, Alfred, 1994. "A Note on Frequency Domain Properties of Estimated VARs," Department of Economics Working Paper Series 27, WU Vienna University of Economics and Business.
    39. Koustas, Zisimos & Serletis, Apostolos, 2003. "Long-run Phillips-type trade-offs in European Union countries," Economic Modelling, Elsevier, vol. 20(4), pages 679-701, July.
    40. Gallegati, Marco & Giri, Federico & Fratianni, Michele, 2019. "Money growth and inflation: International historical evidence on high inflation episodes for developed countries," Bank of Finland Research Discussion Papers 1/2019, Bank of Finland.
    41. Taoufik Rajhi & Patrick Villieu, 1993. "Accélération monétaire et croissance endogène," Post-Print halshs-00250783, HAL.
    42. Moosa, Imad A., 1997. "Testing the long-run neutrality of money in a developing economy: the case of India," Journal of Development Economics, Elsevier, vol. 53(1), pages 139-155, June.
    43. Serletis, Apostolos & Krause, David, 1996. "Empirical evidence on the long-run neutrality hypothesis using low-frequency international data," Economics Letters, Elsevier, vol. 50(3), pages 323-327, March.
    44. James B. Bullard & John W. Keating, 1994. "Superneutrality in postwar economies," Working Papers 1994-011, Federal Reserve Bank of St. Louis.
    45. Kafayat Amusa & Rangan Gupta & Shaakira Karolia & Beatrice D. Simo Kengne, 2010. "The Long-Run Impact of Inflation in South Africa," Working Papers 201029, University of Pretoria, Department of Economics.
    46. Habibullah, Muzafar & Hong, Puah & Mohamed, Azali, 2001. "Testing Long-Run Neutrality of Money in Malaysia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 35, pages 69-83.
    47. Ramón Tirado Jiménez, 2000. "Crecimiento con cambio tecnológico endógeno, bancos y dinero, El caso de una economía con firmas innovadoras," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 15(1), pages 91-116.
    48. Petr Duczynski, 2009. "On the relationship between real and nominal variables in developed countries," Prague Economic Papers, Prague University of Economics and Business, vol. 2009(1), pages 48-60.

  47. Geweke, John, 1985. "Macroeconometric Modeling and the Theory of the Representative Agent," American Economic Review, American Economic Association, vol. 75(2), pages 206-210, May.

    Cited by:

    1. Robert W. Dimand, 2014. "James Tobin and Modern Monetary Theory," Center for the History of Political Economy Working Paper Series 2014-5, Center for the History of Political Economy.
    2. Pesaran, M. Hashem & Chudik, Alexander, 2011. "Aggregation in Large Dynamic Panels," IZA Discussion Papers 5478, Institute of Labor Economics (IZA).
    3. Jesper Linde, 2002. "Monetary Policy Analysis in Backward-Looking Models," Annals of Economics and Statistics, GENES, issue 67-68, pages 155-182.
    4. Scott Schuh, "undated". "Evidence on the Link between Firm-Level and Aggregate Inventory Behavior," Finance and Economics Discussion Series 1996-46, Board of Governors of the Federal Reserve System (U.S.), revised 10 Dec 2019.
    5. Chipman, John Somerset & Winker, Peter, 1994. "Optimal industrial classification: [an application to the German industrial classification system]," Discussion Papers, Series II 236, University of Konstanz, Collaborative Research Centre (SFB) 178 "Internationalization of the Economy".
    6. Chipman, J. & Winker, P., 2005. "Optimal aggregation of linear time series models," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 311-331, April.
    7. Da Silva, Sergio, 2009. "Does Macroeconomics Need Microeconomic Foundations?," Economics Discussion Papers 2009-3, Kiel Institute for the World Economy (IfW Kiel).
    8. Francis X. Diebold & Glenn D. Rudebusch, 2001. "Five questions about business cycles," Economic Review, Federal Reserve Bank of San Francisco, pages 1-15.
    9. John S.nChipman & Peter Winker, "undated". "Optimal Industrial Classification in a Dynamic Model of Price Adjustment," Computing in Economics and Finance 1996 _013, Society for Computational Economics.
    10. Frank T. Denton & Dean C. Mountain & Byron G Spencer, 2006. "Errors of aggregation and errors of specification in a consumer demand model: a theoretical note," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 39(4), pages 1398-1407, November.
    11. Daniel S. Hamermesh, 1992. "Spatial and Temporal Aggregation in the Dynamics of Labor Demand," NBER Working Papers 4055, National Bureau of Economic Research, Inc.
    12. Przemysław Włodarczyk, 2016. "Modele reprezentatywnych podmiotów gospodarczych jako narzędzie analizy w nowej syntezie neoklasycznej," Bank i Kredyt, Narodowy Bank Polski, vol. 47(6), pages 553-584.

  48. Meese, Richard & Geweke, John, 1984. "A Comparison of Autoregressive Univariate Forecasting Procedures for Macroeconomic Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(3), pages 191-200, July.

    Cited by:

    1. Vivek Ghosal & Yang Ye, 2015. "Uncertainty and the employment dynamics of small and large businesses," Small Business Economics, Springer, vol. 44(3), pages 529-558, March.
    2. Emma SARNO & Alberto ZAZZARO, 2003. "Structural Convergence of Macroeconomic Time Series: Evidence for Inflation Rates in EU Countries," Working Papers 180, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    3. Marcellino, Massimiliano, 2002. "Forecasting EMU Macroeconomic Variables," CEPR Discussion Papers 3529, C.E.P.R. Discussion Papers.
    4. Stock, James H & Watson, Mark W, 1996. "Evidence on Structural Instability in Macroeconomic Time Series Relations," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 11-30, January.
    5. Massimiliano Marcellino, "undated". "Instability and non-linearity in the EMU," Working Papers 211, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    6. Welch, Eric & Bretschneider, Stuart & Rohrbaugh, John, 1998. "Accuracy of judgmental extrapolation of time series data: Characteristics, causes, and remediation strategies for forecasting," International Journal of Forecasting, Elsevier, vol. 14(1), pages 95-110, March.
    7. Massimiliano Marcellino, 2008. "A linear benchmark for forecasting GDP growth and inflation?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(4), pages 305-340.
    8. Ghosal, Vivek & Ye, Yang, 2019. "The impact of uncertainty on the number of businesses," Journal of Economics and Business, Elsevier, vol. 105(C).
    9. Ralf Brüggemann & Helmut Lütkepohl & Massimiliano Marcellino, 2008. "Forecasting euro area variables with German pre-EMU data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(6), pages 465-481.
    10. Ord, Keith & Hibon, Michele & Makridakis, Spyros, 2000. "The M3-Competition1," International Journal of Forecasting, Elsevier, vol. 16(4), pages 433-436.
    11. Ferrara, Laurent & Marcellino, Massimiliano & Mogliani, Matteo, 2015. "Macroeconomic forecasting during the Great Recession: The return of non-linearity?," International Journal of Forecasting, Elsevier, vol. 31(3), pages 664-679.
    12. Nazmul Islam, 2017. "Forecasting Bangladesh's Inflation through Econometric Models," American Journal of Economics and Business Administration, Science Publications, vol. 9(3), pages 56-60, November.
    13. Marcellino, Massimiliano, 2002. "Forecast Pooling for Short Time Series of Macroeconomic Variables," CEPR Discussion Papers 3313, C.E.P.R. Discussion Papers.
    14. Roy H. Webb, 1985. "Toward more accurate macroeconomic forecasts," Economic Review, Federal Reserve Bank of Richmond, vol. 71(Jul), pages 3-11.
    15. Bauwens, Luc & Korobilis, Dimitris & Koop, Gary & Rombouts, Jeroen V.K., 2011. "A Comparison Of Forecasting Procedures For Macroeconomic Series: The Contribution Of Structural Break Models," SIRE Discussion Papers 2011-25, Scottish Institute for Research in Economics (SIRE).
    16. Marc Brisson & Bryan Campbell & John W. Galbraith, 2001. "Forecasting Some Low-Predictability Time Series Using Diffusion Indices," CIRANO Working Papers 2001s-46, CIRANO.
    17. Menzie David Chinn, 1991. "Beware of econometricians bearing estimates: Policy analysis in a “unit root” world," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 10(4), pages 546-567.
    18. Francis X. Diebold & Abdelhak S. Senhadji, 1996. "Deterministic vs. Stochastic Trend in U.S. GNP, Yet Again," NBER Working Papers 5481, National Bureau of Economic Research, Inc.
    19. Naresh Bansal & Jack Strauss & Alireza Nasseh, 2015. "Can we consistently forecast a firm’s earnings? Using combination forecast methods to predict the EPS of Dow firms," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(1), pages 1-22, January.
    20. Alexandros E. Milionis & Nikolaos G. Galanopoulos, 2020. "A study of the effect of data transformation and «linearization» on time series forecasts. A practical approach," Working Papers 280, Bank of Greece.
    21. Giulio PALOMBA & Emma SARNO & Alberto ZAZZARO, 2007. "Testing similarities of short-run inflation dynamics among EU countries after the Euro," Working Papers 289, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    22. Vivek Ghosal & Yang Ye, 2013. "Business Decision-Making under Uncertainty: Evidence from Employment and Number of Businesses," CESifo Working Paper Series 4312, CESifo.
    23. James H. Stock & Mark W. Watson, 1998. "A Comparison of Linear and Nonlinear Univariate Models for Forecasting Macroeconomic Time Series," NBER Working Papers 6607, National Bureau of Economic Research, Inc.
    24. Massimiliano Marcellino, 2004. "Forecast Pooling for European Macroeconomic Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(1), pages 91-112, February.

  49. Geweke, John & Meese, Richard & Dent, Warren, 1983. "Comparing alternative tests of causality in temporal systems : Analytic results and experimental evidence," Journal of Econometrics, Elsevier, vol. 21(2), pages 161-194, February.

    Cited by:

    1. Schultz, Margaret Marstall, 1988. "The relevant geographic market area for fed cattle and the changing structure of the beef packing industry," ISU General Staff Papers 198801010800009801, Iowa State University, Department of Economics.
    2. Wiesław Dębski & Bartosz Świderski & Jarosław Kurek, 2018. "Scientific research activity and GDP. An analysis of causality based on 144 countries from around the world," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 12(3), September.
    3. Daniel L. Thornton, 2010. "Monetizing the debt," Economic Synopses, Federal Reserve Bank of St. Louis.
    4. Matete, M.E. & Hassan, Rashid M., 2000. "Public sector agricultural research expenditures and output in Lesotho: Analysis of causality and cointegration," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 39(4), pages 1-10, December.
    5. Noel D. Uri, 1996. "The Impact of Crude Oil Price Volatility on Agricultural Employment in the United States," Energy & Environment, , vol. 7(1), pages 57-74, February.
    6. Kyoung-Min Lim & Seul-Ye Lim & Seung-Hoon Yoo, 2014. "Oil Consumption, CO 2 Emission, and Economic Growth: Evidence from the Philippines," Sustainability, MDPI, vol. 6(2), pages 1-13, February.
    7. David Grreasley, 2010. "Cliometrics and Time Series Econometrics: Some Theory and Applications," Working Papers in Economics 10/56, University of Canterbury, Department of Economics and Finance.
    8. Brown, Philip & Walsh, David & Yuen, Andrea, 1997. "The interaction between order imbalance and stock price," Pacific-Basin Finance Journal, Elsevier, vol. 5(5), pages 539-557, December.
    9. Sang-Do Park, 2018. "The Nexus of FDI, R&D, and Human Capital on Chinese Sustainable Development: Evidence from a Two-Step Approach," Sustainability, MDPI, vol. 10(6), pages 1-23, June.
    10. Cetin Ciner, 2003. "Dynamic Linkages Between Trading Volume and Price Movements: Evidence for Small Firm Stocks," Journal of Entrepreneurial Finance, Pepperdine University, Graziadio School of Business and Management, vol. 8(1), pages 87-102, Spring.
    11. Maier, Philipp & Sturm, Jan-Egbert & de Haan, Jakob, 2002. "Political pressure on the Bundesbank: an empirical investigation using the Havrilesky approach," Journal of Macroeconomics, Elsevier, vol. 24(1), pages 103-123, March.
    12. Mark Weder, 2006. "A heliocentric journey into Germany's Great Depression," Oxford Economic Papers, Oxford University Press, vol. 58(2), pages 288-316, April.
    13. Tran Hoa, 1981. "Causality and wage price inflation in West Germany 1964–1979," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 117(1), pages 110-124, March.
    14. Yoo, S.-H., 2006. "The causal relationship between electricity consumption and economic growth in the ASEAN countries," Energy Policy, Elsevier, vol. 34(18), pages 3573-3582, December.
    15. Sturm, Jan-Egbert & Jacobs, Jan & Groote, Peter, 1995. "Productivity impacts of infrastructure investment in the Netherlands 1853-1913," Research Report 95D30, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    16. Papana, A. & Kyrtsou, K. & Kugiumtzis, D. & Diks, C.G.H., 2014. "Identifying causal relationships in case of non-stationary time series," CeNDEF Working Papers 14-09, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
    17. Emerick, Paula A. & Willett, Lois Schertz & Novakovic, Andrew M., 1993. "Incorporating Price Regulation in Causality Tests for Dairy Markets," Staff Papers 121338, Cornell University, Department of Applied Economics and Management.
    18. Urmee Khan & Robert Lieli, 2010. "Information Processing in Prediction Markets: An Empirical Investigation," Working Papers 201426, University of California at Riverside, Department of Economics.
    19. Iris Claus & David Haugh & Grant Scobie & Jonas Tornquist, 2001. "Saving and growth in an open economy," Treasury Working Paper Series 01/32, New Zealand Treasury.
    20. De Gooijer, Jan G. & Sivarajasingham, Selliah, 2008. "Parametric and nonparametric Granger causality testing: Linkages between international stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(11), pages 2547-2560.
    21. Yoo, Seung-Hoon & Ku, Se-Ju, 2009. "Causal relationship between nuclear energy consumption and economic growth: A multi-country analysis," Energy Policy, Elsevier, vol. 37(5), pages 1905-1913, May.
    22. Abdur R. Chowdhury, 1991. "A Causal Analysis of Defense Spending and Economic Growth," Journal of Conflict Resolution, Peace Science Society (International), vol. 35(1), pages 80-97, March.
    23. Joshua Aizenman & Ilan Noy, 2005. "FDI and Trade -- Two Way Linkages?," NBER Working Papers 11403, National Bureau of Economic Research, Inc.
    24. Roelf Bult, Jan & Leeflang, Peter S. H. & Wittink, Dick R., 1997. "The relative performance of bivariate causality tests in small samples," European Journal of Operational Research, Elsevier, vol. 97(3), pages 450-464, March.
    25. Nauros F. Campos & Jeffrey B. Nugent, 2000. "Investment and Instability," William Davidson Institute Working Papers Series 337, William Davidson Institute at the University of Michigan.
    26. Stevenson, Alan & Boyd, Milton S., 2001. "Lead Lag Relationships Between Resource Prices and Corresponding Resource Company Share Prices," 2001 Conference (45th), January 23-25, 2001, Adelaide, Australia 125959, Australian Agricultural and Resource Economics Society.
    27. Sapp, Stephen, 2004. "Are all Central Bank interventions created equal? An empirical investigation," Journal of Banking & Finance, Elsevier, vol. 28(3), pages 443-474, March.
    28. Sunel Grimbeek & Steve Koch & Richard Grimbeek, 2013. "The Consistency of Merger Decisions at the South African Competition Commission," South African Journal of Economics, Economic Society of South Africa, vol. 81(4), pages 561-580, December.
    29. Nauro F. Campos & Jeffrey B. Nugent, 2000. "Who is Afraid of Political Instability?," William Davidson Institute Working Papers Series 326, William Davidson Institute at the University of Michigan.
    30. Michael A. Conte & Ali F. Darrat, 1993. "Testing Alternative Views Of Government Budgeting," Review of Financial Economics, John Wiley & Sons, vol. 3(1), pages 19-40, September.
    31. Per-Ola Maneschiöld, 2008. "A Note on the Export-Led Growth Hypothesis: A Time Series Approach," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 45(132), pages 293-302.
    32. Pardey, Philip G. & Craig, Barbara J., 1987. "Dynamics Of The Agricultural Research And Output Relationship," Staff Papers 13515, University of Minnesota, Department of Applied Economics.
    33. Roman Hušek & Tomáš Formánek, 2011. "Srovnání konvergence ekonomik ČR a vybraných zemí eurozóny na základě analýzy funkcí odezvy a nabídkových či poptávkových šoků [Comparing the Convergence of Czech Economy with Selected Euro Zone Me," Politická ekonomie, Prague University of Economics and Business, vol. 2011(3), pages 291-309.
    34. Roman Hušek & Tomáš Formánek, 2014. "Alternative specification, estimation and identification of vector autoregressions [Alternativní specifikace, odhad a identifikace vektorových autoregresí]," Acta Oeconomica Pragensia, Prague University of Economics and Business, vol. 2014(4), pages 52-72.
    35. Khan, Urmee & Lieli, Robert P., 2018. "Information flow between prediction markets, polls and media: Evidence from the 2008 presidential primaries," International Journal of Forecasting, Elsevier, vol. 34(4), pages 696-710.
    36. Richard J. Grimbeek & Sunel Grimbeek & Steven F. Koch, 2011. "The Consistency of Merger Decisions in a Developing Country: The South African Competition Commission," Working Papers 201117, University of Pretoria, Department of Economics.
    37. Weber, Sascha A. & Salamon, Petra & Hansen, Heiko, 2012. "Volatile world market prices for dairy products - how do they affect domestic price formation: The German cheese market," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122542, European Association of Agricultural Economists.
    38. Liapis, Peter S., 1989. "Estimation and Evaluation of Economic Community Wheat Export Subsidies," Staff Reports 278253, United States Department of Agriculture, Economic Research Service.
    39. Niloy Bose & M. Emranul Haque, 2005. "Causality Between Public Investment In Transport And Communication And Economic Growth," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 30(1), pages 95-106, June.
    40. Mariusz Maziarz, 2015. "A review of the Granger-causality fallacy," The Journal of Philosophical Economics, Bucharest Academy of Economic Studies, The Journal of Philosophical Economics, vol. 8(2), May.
    41. Cheng, Benjamin S. & Lai, Tin Wei, 1997. "An investigation of co-integration and causality between energy consumption and economic activity in Taiwan," Energy Economics, Elsevier, vol. 19(4), pages 435-444, October.
    42. Afonso, António & Jalles, João Tovar, 2012. "Revisiting fiscal sustainability: panel cointegration and structural breaks in OECD countries," Working Paper Series 1465, European Central Bank.
    43. Wollmer, Frances, 1988. "Towards a New Framework for Modelling Agricultural Land Prices," Manchester Working Papers in Agricultural Economics 232811, University of Manchester, School of Economics, Agricultural Economics Department.
    44. Jo-Hee Hwang & Seung-Hoon Yoo, 2014. "Energy consumption, CO 2 emissions, and economic growth: evidence from Indonesia," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 63-73, January.
    45. Keating, John W. & Smith, A. Lee, 2019. "The optimal monetary instrument and the (mis)use of causality tests," Journal of Financial Stability, Elsevier, vol. 42(C), pages 90-99.
    46. Malkamäki, Markku, 1992. "Cointegration and causality of stock markets in two small open economies and their major trading partner nations," Bank of Finland Research Discussion Papers 16/1992, Bank of Finland.
    47. Mehmet Dalkir, 2005. "A New Method For Estimating The Order Of Integration Of Fractionally Integrated Processes Using Bispectra," Econometrics 0507001, University Library of Munich, Germany, revised 07 Jul 2005.
    48. Diebolt, Claude & Parent, Antoine, 2008. "Bimetallism: The "rules of the game"," Explorations in Economic History, Elsevier, vol. 45(3), pages 288-302, July.
    49. Laatsch, Francis E. & Klein, Daniel P., 2003. "Nominal rates, real rates, and expected inflation: Results from a study of U.S. Treasury Inflation-Protected Securities," The Quarterly Review of Economics and Finance, Elsevier, vol. 43(3), pages 405-417.
    50. Hong, Jae-pyo, 2017. "Causal relationship between ICT R&D investment and economic growth in Korea," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 70-75.
    51. Massimo Massa & William N. Goetzmann, 1999. "Index Funds and Stock Market Growth," Yale School of Management Working Papers ysm23, Yale School of Management.
    52. Yoo, Seung-Hoon, 2005. "Electricity consumption and economic growth: evidence from Korea," Energy Policy, Elsevier, vol. 33(12), pages 1627-1632, August.
    53. Anthony E. Myatt & Gregory Young, 1986. "Interest Rates and Inflation: Uncertainty Cushions, Threshold and "Patman" Effects," Eastern Economic Journal, Eastern Economic Association, vol. 12(2), pages 103-114, Apr-Jun.
    54. Darrat, Ali F. & Mukherjee, Tarun K., 1995. "Inter-industry differences and the impact of operating and financial leverages on equity risk," Review of Financial Economics, Elsevier, vol. 4(2), pages 141-155.
    55. Jeffrey E. Jarrett & Xia Pan & Shaw Chen, 2009. "Do the Chinese Bourses (Stock Markets) Predict Economic Growth?," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 8(3), pages 201-211, December.
    56. Maneschiöld, Per-Ola, 2010. "Consumption in Urban China and Monetary Policy - Consumi nelle aree urbane della Cina e politica monetaria," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 63(3), pages 305-327.
    57. Yoo, Seung-Hoon & Kim, Yeonbae, 2006. "Electricity generation and economic growth in Indonesia," Energy, Elsevier, vol. 31(14), pages 2890-2899.
    58. Masih, Abul M. M. & Masih, Rumi, 1996. "Empirical tests to discern the dynamic causal chain in macroeconomic activity: new evidence from Thailand and Malaysia based on a multivariate cointegration/vector error-correction modeling approach," Journal of Policy Modeling, Elsevier, vol. 18(5), pages 531-560, October.
    59. Claude Diebolt & Cédric Doliger, 2005. "Becker vs. Easterlin. Education, Fertility and Growth in France after World War II," Working Papers 05-03, Association Française de Cliométrie (AFC).
    60. Odhiambo, Nicholas M., 2009. "Energy consumption and economic growth nexus in Tanzania: An ARDL bounds testing approach," Energy Policy, Elsevier, vol. 37(2), pages 617-622, February.
    61. Alessandro Beber, 2001. "Determinants of the implied volatility function on the Italian Stock Market," Alea Tech Reports 010, Department of Computer and Management Sciences, University of Trento, Italy, revised 14 Jun 2008.
    62. Koto, Prosper Senyo, 2015. "Are retail prices of ethanol, gasoline and natural gas in the midwest cointegrated? An asymmetric threshold cointegration analysis," Journal of Economics and Business, Elsevier, vol. 77(C), pages 79-93.
    63. JoaoRicardo Faria & Francisco Galrao Caneiro, 2003. "Devalution, Output and Wages," International Economic Journal, Taylor & Francis Journals, vol. 17(4), pages 15-27.
    64. Angeliki Papana & Catherine Kyrtsou & Dimitris Kugiumtzis & Cees Diks, 2023. "Identification of causal relationships in non-stationary time series with an information measure: Evidence for simulated and financial data," Empirical Economics, Springer, vol. 64(3), pages 1399-1420, March.
    65. Ernst A. Boehm & Vance L. Martin, 1989. "An Investigation into the Major Causes 01 Australia's Recent Inflation and Some Policy Implications," The Economic Record, The Economic Society of Australia, vol. 65(1), pages 1-15, March.
    66. Xiaming Liu & Haiyan Song & Peter Romilly, 1997. "An empirical investigation of the causal relationship between openness and economic growth in China," Applied Economics, Taylor & Francis Journals, vol. 29(12), pages 1679-1686.
    67. Ajayi, Richard A. & Friedman, Joseph & Mehdian, Seyed M., 1998. "On the relationship between stock returns and exchange rates: Tests of granger causality," Global Finance Journal, Elsevier, vol. 9(2), pages 241-251.
    68. Yoo, Seung-Hoon, 2006. "Causal relationship between coal consumption and economic growth in Korea," Applied Energy, Elsevier, vol. 83(11), pages 1181-1189, November.
    69. Beutler, Martin K. & Brorsen, B. Wade, 1984. "Price Discovery In The Soybean Complex," 1984 Annual Meeting, August 5-8, Ithaca, New York 278959, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    70. Brorsen, B. Wade & Bailey, DeeVon & Richardson, James W., 1984. "Investigation Of Price Discovery And Efficiency For Cash And Futures Cotton Prices," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 9(1), pages 1-7, July.
    71. Sarker, Rakhal, 1990. "Testing Causality in Economics: A Review," Department of Agricultural Economics and Business 258629, University of Guelph.
    72. Walter C. Labys & Alfred Maizels, 1990. "Commodity Price Fluctuations and Macro-economic Adjustments in the Developed Countries," WIDER Working Paper Series wp-1990-088, World Institute for Development Economic Research (UNU-WIDER).
    73. Saeid Mahdavi & Ahmad Sohrabian, 1991. "The Link between the Rate of Growth of Stock Prices and the Rate of Growth of GNP in the United States: A Granger Causality Test," The American Economist, Sage Publications, vol. 35(2), pages 41-48, October.
    74. Dawson, John W., 2003. "Causality in the freedom-growth relationship," European Journal of Political Economy, Elsevier, vol. 19(3), pages 479-495, September.
    75. Claude Deniau & Georges Fiori & Alexandre Mathis, 1992. "Sélection du nombre de retards dans un modèle VAR : conséquences éventuelles du choix des critères," Économie et Prévision, Programme National Persée, vol. 106(5), pages 61-69.
    76. Piersanti, Giovanni, 2000. "Current account dynamics and expected future budget deficits: some international evidence," Journal of International Money and Finance, Elsevier, vol. 19(2), pages 255-271, April.
    77. JONATHAN D. JONES & NASIR M. KHIUl, 1988. "Money Growth, Inflation, and Causality (EmpiricalEvidence for Pakistan, 1973-1985)," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 27(1), pages 45-58.
    78. Cheng, Benjamin S., 1999. "Beyond the purchasing power parity: testing for cointegration and causality between exchange rates, prices, and interest rates," Journal of International Money and Finance, Elsevier, vol. 18(6), pages 911-924, December.
    79. Shu-Chen Chang, 2005. "The dynamic interactions among foreign direct investment, economic growth, exports and unemployment: evidence from Taiwan," Economic Change and Restructuring, Springer, vol. 38(3), pages 235-256, December.
    80. S. Gurcan Gulen, 1996. "Is OPEC a Cartel? Evidence from Cointegration and Causality Tests," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 43-57.
    81. Kocenda, Evzen, 1998. "Exchange rate in transition," MPRA Paper 32030, University Library of Munich, Germany.
    82. Ali F. Darrat & Tarun K. Mukherjee, 1995. "Inter‐industry differences and the impact of operating and financial leverages on equity risk," Review of Financial Economics, John Wiley & Sons, vol. 4(2), pages 141-155, March.
    83. Yoo, Seung-Hoon & Kwak, So-Yoon, 2010. "Electricity consumption and economic growth in seven South American countries," Energy Policy, Elsevier, vol. 38(1), pages 181-188, January.
    84. Benjamin Cheng, 1999. "Causality between taxes and expenditures: Evidence from Latin American countries," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 23(2), pages 184-192, June.
    85. Uri, Noel D., 1996. "Changing crude oil price effects on US agricultural employment," Energy Economics, Elsevier, vol. 18(3), pages 185-202, July.
    86. Masih, Rumi & Masih, Abul M. M., 1996. "Macroeconomic activity dynamics and Granger causality: New evidence from a small developing economy based on a vector error-correction modelling analysis," Economic Modelling, Elsevier, vol. 13(3), pages 407-426, July.
    87. Rik Hafer, 1984. "Choosing between M1 and debt as an intermediate target for monetary policy," Working Papers 1984-005, Federal Reserve Bank of St. Louis.
    88. Sobel, Russell S. & Holcombe, Randall G., 1996. "Measuring the Growth and Variability of Tax Bases Over the Business Cycle," National Tax Journal, National Tax Association;National Tax Journal, vol. 49(4), pages 535-552, December.
    89. Uri, Noel D., 1998. "Impact of the price of energy on the use of conservation tillage in agriculture in the USA," Applied Energy, Elsevier, vol. 60(4), pages 225-240, August.
    90. Ahmad, Jaleel & Harnhirun, Somchai, 1995. "Unit roots and cointegration in estimating causality between exports and economic growth: Empirical evidence from the ASEAN countries," Economics Letters, Elsevier, vol. 49(3), pages 329-334, September.
    91. Huisman, K.J.M. & Kort, P.M. & Plasmans, J.E.J., 2007. "Investment in High-Tech Industries : An Example from the LCD Industry," Other publications TiSEM c5178ef4-6308-4d80-9f69-d, Tilburg University, School of Economics and Management.
    92. Seung-Hoon Yoo, 2004. "Public R&D expenditure and private R&D expenditure: a causality analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 11(11), pages 711-714.
    93. Uri, Noel D., 1996. "Crude-oil price volatility and agricultural employment in the USA," Applied Energy, Elsevier, vol. 54(4), pages 355-373, August.
    94. Shimeng Shi & Yukun Shi, 2021. "Bitcoin futures: trade it or ban it?," The European Journal of Finance, Taylor & Francis Journals, vol. 27(4-5), pages 381-396, March.
    95. Harvey Starr & Francis W. Hoole & Jeffrey A. Hart & John R. Freeman, 1984. "The Relationship between Defense Spending and Inflation," Journal of Conflict Resolution, Peace Science Society (International), vol. 28(1), pages 103-122, March.
    96. Gebka, Bartosz, 2006. "Leaders and Laggards: International Evidence on Spillovers in Returns, Variance, and Trading Volume," Working Paper Series 2006,1, European University Viadrina Frankfurt (Oder), The Postgraduate Research Programme Capital Markets and Finance in the Enlarged Europe.
    97. Ghosal, Vivek & Gallo, Joseph, 2001. "The cyclical behavior of the Department of Justice's antitrust enforcement activity," International Journal of Industrial Organization, Elsevier, vol. 19(1-2), pages 27-54, January.
    98. Ciner Cetin, 2001. "Energy Shocks and Financial Markets: Nonlinear Linkages," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 5(3), pages 1-11, October.
    99. Mougoue, Mbodja & Noula, Armand Gilbert & Ajayi, Richard A., 2008. "Maturities, Nonlinearities, and the International Transmission of Short-Term Interest Rates," Review of Applied Economics, Lincoln University, Department of Financial and Business Systems, vol. 4(1-2), pages 1-20.
    100. Mario Forni & Luca Gambetti & Luca Sala, 2018. "Fundamentalness, Granger Causality and Aggregation," Center for Economic Research (RECent) 139, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    101. Dufour, Jean-Marie & Tessier, David, 1997. "La causalité entre la monnaie et le revenu : une analyse fondée sur un modèle VARMA-échelon," L'Actualité Economique, Société Canadienne de Science Economique, vol. 73(1), pages 351-366, mars-juin.
    102. Lidija Lovreta & Joaquín López Pascual, 2020. "Structural breaks in the interaction between bank and sovereign default risk," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 11(4), pages 531-559, December.
    103. Raymond M. Leuthold & Philip Garcia & Nabil Chaherli, 1992. "Information, Pricing and Efficiency in Cash and Futures Markets: The Case of Hogs," The Economic Record, The Economic Society of Australia, vol. 68(S1), pages 27-33, December.
    104. Bailey, DeeVon & Brorsen, B. Wade, 1985. "Dynamics Of Regional Fed Cattle Prices," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 10(1), pages 1-8, July.
    105. Zapata, Hector O. & Hudson, Michael A. & Garcia, Philip, 1988. "Identifying Causal Relationships Between Nonstationary Stochastic Processes: An Examination Of Alternative Approaches In Small Samples," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 13(2), pages 1-14, December.
    106. Noel D. Uri, 1998. "The Impact of Energy on the Adoption of Conservation Tillage in the United States," Energy & Environment, , vol. 9(5), pages 549-568, August.
    107. Trunin, Pavel (Трунин, Павел), 2015. "Analysis of the Level of Development of the Financial System in the Russian Federation [Анализ Уровня Развития Финансовой Системы В Российской Федерации]," Published Papers mn38, Russian Presidential Academy of National Economy and Public Administration.
    108. Giesecke, Kay & Longstaff, Francis A. & Schaefer, Stephen & Strebulaev, Ilya A., 2014. "Macroeconomic effects of corporate default crisis: A long-term perspective," Journal of Financial Economics, Elsevier, vol. 111(2), pages 297-310.
    109. Bellod Redondo, José Francisco, 1999. "Prueba de causalidad y determinación de la NAIRU," El Trimestre Económico, Fondo de Cultura Económica, vol. 66(264), pages 663-692, octubre-d.
    110. Zhao, Xiaoli & Ma, Qian & Yang, Rui, 2013. "Factors influencing CO2 emissions in China's power industry: Co-integration analysis," Energy Policy, Elsevier, vol. 57(C), pages 89-98.
    111. Vivek Ghosal & Jiayao Ni, 2015. "Competition and Innovation in Automobile Markets," CESifo Working Paper Series 5504, CESifo.
    112. Tang, Chor Foon, 2010. "Savings-led growth theories: A time series analysis for Malaysia using the bootstrapping and time-varying causality techniques," MPRA Paper 27299, University Library of Munich, Germany.
    113. Luiz R. De Mello & Kiichiro Fukasaku, 2000. "Trade and foreign direct investment in Latin America and Southeast Asia: temporal causality analysis," Journal of International Development, John Wiley & Sons, Ltd., vol. 12(7), pages 903-924.
    114. Angeliki N. Menegaki, 2019. "The ARDL Method in the Energy-Growth Nexus Field; Best Implementation Strategies," Economies, MDPI, vol. 7(4), pages 1-16, October.
    115. Adil Saleem & Judit Sági & Budi Setiawan, 2021. "Islamic Financial Depth, Financial Intermediation, and Sustainable Economic Growth: ARDL Approach," Economies, MDPI, vol. 9(2), pages 1-22, April.
    116. Fatai, K & Oxley, Les & Scrimgeour, F.G, 2004. "Modelling the causal relationship between energy consumption and GDP in New Zealand, Australia, India, Indonesia, The Philippines and Thailand," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(3), pages 431-445.
    117. Claude Diebolt & Antoine Parent, 2006. "Were there Anomalies in the Sterling-Franc Exchange Rate Regulation during the Mid-19th Century?," Working Papers 06-08, Association Française de Cliométrie (AFC).
    118. Seung-Hoon Yoo, 2007. "Urban Water Consumption and Regional Economic Growth: The Case of Taejeon, Korea," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(8), pages 1353-1361, August.
    119. Tang, Chor Foon, 2009. "Does causality technique matter to savings-growth nexus in Malaysia?," MPRA Paper 38535, University Library of Munich, Germany.
    120. Liu, Xiangli & Cheng, Siwei & Wang, Shouyang & Hong, Yongmiao & Li, Yi, 2008. "An empirical study on information spillover effects between the Chinese copper futures market and spot market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(4), pages 899-914.
    121. Palaskas, Theodosios*Varangis, Panos, 1989. "Primary commodity prices and macroeconomic variables : a long run relationship," Policy Research Working Paper Series 314, The World Bank.

  50. Geweke, John F. & Singleton, Kenneth J., 1981. "Latent variable models for time series : A frequency domain approach with an application to the permanent income hypothesis," Journal of Econometrics, Elsevier, vol. 17(3), pages 287-304, December.

    Cited by:

    1. Kodde, D.A. & Palm, F.C., 1982. "Computing wald criteria for nested hypotheses with Econometric Applications," Serie Research Memoranda 0027, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    2. Adam Jêdrzejczyk, 2012. "Inflation forecasting using dynamic factor analysis. SAS 4GL programming approach," Working Papers 63, Department of Applied Econometrics, Warsaw School of Economics.
    3. Julieta Fuentes & Pilar Poncela & Julio Rodríguez, 2015. "Sparse Partial Least Squares in Time Series for Macroeconomic Forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(4), pages 576-595, June.
    4. Matteo Barigozzi, 2023. "Quasi Maximum Likelihood Estimation of High-Dimensional Factor Models: A Critical Review," Papers 2303.11777, arXiv.org, revised Dec 2023.
    5. Duo Qin, 2010. "Modelling of the Inflation-Unemployment Tradeoff from the Perspective of the History of Econometrics," Working Papers 661, Queen Mary University of London, School of Economics and Finance.
    6. Matteo Barigozzi & Marc Hallin, 2023. "Dynamic Factor Models: a Genealogy," Papers 2310.17278, arXiv.org, revised Jan 2024.
    7. Ravi Jagannathan & Srikant Marakani & Hitoshi Takehara & Yong Wang, 2012. "Calendar Cycles, Infrequent Decisions, and the Cross Section of Stock Returns," Management Science, INFORMS, vol. 58(3), pages 507-522, March.
    8. Dean Corbea & Sam Ouliaris & Peter C.B. Phillips, 1991. "A Reexamination of the Consumption Function Using Frequency Domain Regressors," Cowles Foundation Discussion Papers 997, Cowles Foundation for Research in Economics, Yale University.
    9. Taniguchi, Masanobu, 2008. "Non-regular estimation theory for piecewise continuous spectral densities," Stochastic Processes and their Applications, Elsevier, vol. 118(2), pages 153-170, February.

  51. Geweke, John, 1981. "The Approximate Slopes of Econometric Tests," Econometrica, Econometric Society, vol. 49(6), pages 1427-1442, November.

    Cited by:

    1. Brian M. Doyle & Jon Faust, 2003. "Breaks in the variability and co-movement of G-7 economic growth," International Finance Discussion Papers 786, Board of Governors of the Federal Reserve System (U.S.).
    2. Edgar Weissenberger & J. Thomas, 1983. "The causal role of money in West Germany," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 119(1), pages 64-83, March.
    3. Godfrey, Leslie G., 1996. "Some results on the Glejser and Koenker tests for heteroskedasticity," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 275-299.
    4. Roelf Bult, Jan & Leeflang, Peter S. H. & Wittink, Dick R., 1997. "The relative performance of bivariate causality tests in small samples," European Journal of Operational Research, Elsevier, vol. 97(3), pages 450-464, March.
    5. Perron, Pierre & Vodounou, Cosme, 2004. "Tests of return predictability: an analysis of their properties based on a continuous time asymptotic framework," Journal of Empirical Finance, Elsevier, vol. 11(2), pages 203-230, March.
    6. Enrique Sentana, 2008. "The Econometrics of Mean-Variance Efficiency Tests: A Survey," Working Papers wp2008_0807, CEMFI.
    7. Kim, Dukpa & Perron, Pierre, 2009. "Assessing the relative power of structural break tests using a framework based on the approximate Bahadur slope," Journal of Econometrics, Elsevier, vol. 149(1), pages 26-51, April.
    8. Sheng-Kai Chang, 2007. "The asymptotic global power comparisons of the GMM overidentifying restrictions tests," Economics Bulletin, AccessEcon, vol. 3(44), pages 1-6.
    9. Enrique Sentana & Francisco Penaranda, 2004. "Spanning Tests in Return and Stochastic Discount Factor Mean-Variance Frontiers: A Unifying Approach," FMG Discussion Papers dp497, Financial Markets Group.
    10. Anthony E. Myatt & Gregory Young, 1986. "Interest Rates and Inflation: Uncertainty Cushions, Threshold and "Patman" Effects," Eastern Economic Journal, Eastern Economic Association, vol. 12(2), pages 103-114, Apr-Jun.
    11. John Y. Campbell, 1993. "Why Long Horizons: A Study of Power Against Persistent Alternatives," NBER Technical Working Papers 0142, National Bureau of Economic Research, Inc.
    12. Robert F. Stambaugh, 1993. "Estimating Conditional Expectations when Volatility Fluctuates," NBER Technical Working Papers 0140, National Bureau of Economic Research, Inc.
    13. Sheng-Kai Chang, 2005. "The approximate slopes and the power of the GMM overidentifying restrictions test," Applied Economics Letters, Taylor & Francis Journals, vol. 12(13), pages 845-848.
    14. Zeng-Hua Lu, 2020. "Bahadur intercept with applications to one-sided testing," Statistical Papers, Springer, vol. 61(2), pages 645-658, April.
    15. Amengual, Dante & Sentana, Enrique, 2010. "A comparison of mean-variance efficiency tests," Journal of Econometrics, Elsevier, vol. 154(1), pages 16-34, January.
    16. Chafik Bouhaddioui & Roch Roy, 2004. "A Generalized Portmanteau Test for Independence of Two Infinite Order Vector Autoregressive Series," CIRANO Working Papers 2004s-06, CIRANO.
    17. White, Halbert & Hong, Yongmiao, 1999. "M-Testing Using Finite and Infinite Dimensional Parameter Estimators," University of California at San Diego, Economics Working Paper Series qt9qz123ng, Department of Economics, UC San Diego.
    18. Duchesne, Pierre & Roy, Roch, 2004. "On consistent testing for serial correlation of unknown form in vector time series models," Journal of Multivariate Analysis, Elsevier, vol. 89(1), pages 148-180, April.
    19. Hong, Yongmiao, 1996. "Testing for independence between two covariance stationary time series," MPRA Paper 108731, University Library of Munich, Germany.
    20. Fang, Yue, 2008. "Semi-parametric specification tests for mixing distributions," Computational Statistics & Data Analysis, Elsevier, vol. 52(5), pages 2829-2839, January.
    21. Daniel, Kent, 2001. "The power and size of mean reversion tests," Journal of Empirical Finance, Elsevier, vol. 8(5), pages 493-535, December.
    22. Bekaert, Geert, 2001. "Editor's foreword to the special issue: "On the predictability of asset returns"," Journal of Empirical Finance, Elsevier, vol. 8(5), pages 451-457, December.
    23. Pierse, R. G. & Snell, A. J., 1995. "Temporal aggregation and the power of tests for a unit root," Journal of Econometrics, Elsevier, vol. 65(2), pages 333-345, February.
    24. McCullough, B. D., 1997. "An analysis of stock market transactions data," The Quarterly Review of Economics and Finance, Elsevier, vol. 37(4), pages 887-903.

  52. Geweke, John F & Singleton, Kenneth J, 1981. "Maximum Likelihood "Confirmatory" Factor Analysis of Economic Time Series," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 22(1), pages 37-54, February.

    Cited by:

    1. Chakravartti, Parma & Mundle, Sudipto, 2017. "An Automatic Leading Indicator Based Growth Forecast For 2016-17 and The Outlook Beyond," Working Papers 17/193, National Institute of Public Finance and Policy.
    2. Bork, Lasse, 2009. "Estimating US Monetary Policy Shocks Using a Factor-Augmented Vector Autoregression: An EM Algorithm Approach," Finance Research Group Working Papers F-2009-03, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    3. Paul Boothe & Debra Glassman, 1988. "Alternative Tests of International Asset Substitutability," UCLA Economics Working Papers 463, UCLA Department of Economics.
    4. Mario Alloza & Jesús Gonzalo & Carlos Sanz, 2019. "Dynamic effects of persistent shocks," Working Papers 1944, Banco de España.
    5. Tommaso Proietti & Alessandra Luati, 2013. "Maximum likelihood estimation of time series models: the Kalman filter and beyond," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 15, pages 334-362, Edward Elgar Publishing.
    6. Mirko Wiederholt & Emanuel Moench & Bartosz Maćkowiak, 2009. "Sectoral Price Data and Models of Price Setting," 2009 Meeting Papers 666, Society for Economic Dynamics.
    7. Ortega, Jose Antonio & Poncela, Pilar, 2005. "Joint forecasts of Southern European fertility rates with non-stationary dynamic factor models," International Journal of Forecasting, Elsevier, vol. 21(3), pages 539-550.
    8. Allaudeen Hameed, 1997. "Time-Varying Factors And Cross-Autocorrelations In Short-Horizon Stock Returns," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(4), pages 435-458, December.
    9. Reichlin, Lucrezia, 2002. "Factor Models in Large Cross-Sections of Time Series," CEPR Discussion Papers 3285, C.E.P.R. Discussion Papers.
    10. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2013. "On the Stratonovich – Kalman - Bucy filtering algorithm application for accurate characterization of financial time series with use of state-space model by central banks," MPRA Paper 50235, University Library of Munich, Germany.
    11. Yu-pin Hu, 2005. "Identifying the time-effect factors of multiple time series," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(5), pages 379-387.
    12. Stef Buuren, 1997. "Fitting arma time series by structural equation models," Psychometrika, Springer;The Psychometric Society, vol. 62(2), pages 215-236, June.
    13. Giannone, Domenico & Reichlin, Lucrezia & Sala, Luca, 2006. "VARs, common factors and the empirical validation of equilibrium business cycle models," Journal of Econometrics, Elsevier, vol. 132(1), pages 257-279, May.
    14. Poncela, Pilar & Ruiz, Esther & Miranda, Karen, 2021. "Factor extraction using Kalman filter and smoothing: This is not just another survey," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1399-1425.
    15. Niansheng Tang & Sy-Miin Chow & Joseph G. Ibrahim & Hongtu Zhu, 2017. "Bayesian Sensitivity Analysis of a Nonlinear Dynamic Factor Analysis Model with Nonparametric Prior and Possible Nonignorable Missingness," Psychometrika, Springer;The Psychometric Society, vol. 82(4), pages 875-903, December.
    16. Gabriele Fiorentini & Alessandro Galesi & Enrique Sentana, 2016. "A spectral EM algorithm for dynamic factor models," Working Papers 1619, Banco de España.
    17. Koopman, Siem Jan & van der Wel, Michel, 2013. "Forecasting the US term structure of interest rates using a macroeconomic smooth dynamic factor model," International Journal of Forecasting, Elsevier, vol. 29(4), pages 676-694.
    18. Roberto Tatiwa Ferreira & Herman Bierens & Ivan Castelar, 2005. "Forecasting Quarterly Brazilian GDP Growth Rate With Linear and NonLinear Diffusion Index Models," Economia, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics], vol. 6(3), pages 261-292.
    19. Forni, Mario & Giannone, Domenico & Lippi, Marco & Reichlin, Lucrezia, 2007. "Opening the black box: structural factor models with large cross-sections," Working Paper Series 712, European Central Bank.
    20. Peña, Daniel & Poncela, Pilar, 2000. "Forecasting with nostationary dynamic factor models," DES - Working Papers. Statistics and Econometrics. WS 9959, Universidad Carlos III de Madrid. Departamento de Estadística.
    21. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    22. Sy-Miin Chow & Guangjian Zhang, 2013. "Nonlinear Regime-Switching State-Space (RSSS) Models," Psychometrika, Springer;The Psychometric Society, vol. 78(4), pages 740-768, October.
    23. Sarantis Tsiaplias & Chew Lian Chua, 2013. "A Multivariate GARCH Model Incorporating the Direct and Indirect Transmission of Shocks," Econometric Reviews, Taylor & Francis Journals, vol. 32(2), pages 244-271, February.
    24. Ruili Sun & Tiefeng Ma & Shuangzhe Liu & Milind Sathye, 2019. "Improved Covariance Matrix Estimation for Portfolio Risk Measurement: A Review," JRFM, MDPI, vol. 12(1), pages 1-34, March.
    25. Escribano, Alvaro & Peña, Daniel & Ruiz, Esther, 2021. "30 years of cointegration and dynamic factor models forecasting and its future with big data: Editorial," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1333-1337.
    26. Alonso Fernández, Andrés Modesto & Bastos, Guadalupe & García-Martos, Carolina, 2017. "BIAS correction for dynamic factor models," DES - Working Papers. Statistics and Econometrics. WS 24029, Universidad Carlos III de Madrid. Departamento de Estadística.
    27. Chris Heaton & Victor Solo, 2000. "Dynamic Factor Analysis with ARMA Factors," Econometric Society World Congress 2000 Contributed Papers 0145, Econometric Society.
    28. Dickhaus, Thorsten & Sirotko-Sibirskaya, Natalia, 2019. "Simultaneous statistical inference in dynamic factor models: Chi-square approximation and model-based bootstrap," Computational Statistics & Data Analysis, Elsevier, vol. 129(C), pages 30-46.
    29. García-Martos, Carolina & Rodríguez, Julio & Sánchez, María Jesús, 2011. "Forecasting electricity prices and their volatilities using Unobserved Components," Energy Economics, Elsevier, vol. 33(6), pages 1227-1239.
    30. Pan, Jiazhu & Yao, Qiwei, 2008. "Modelling multiple time series via common factors," LSE Research Online Documents on Economics 22876, London School of Economics and Political Science, LSE Library.
    31. António Rua, 2011. "A wavelet approach for factor‐augmented forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(7), pages 666-678, November.
    32. Gonzalo Camba-Mendez & George Kapetanios, 2005. "Statistical Tests of the Rank of a Matrix and Their Applications in Econometric Modelling," Working Papers 541, Queen Mary University of London, School of Economics and Finance.
    33. Ruey Yau, 2004. "Macroeconomic Forecasting with Independent Component Analysis," Econometric Society 2004 Far Eastern Meetings 741, Econometric Society.
    34. Galeano, Pedro & Peña, Daniel, 2001. "Multivariate analysis in vector time series," DES - Working Papers. Statistics and Econometrics. WS ws012415, Universidad Carlos III de Madrid. Departamento de Estadística.
    35. François Bouton & Hélène Erkel-Rousse, 2002. "Conjonctures sectorielles et prévision à court terme de l'activité : l'apport de l'enquête de conjoncture dans les services," Économie et Statistique, Programme National Persée, vol. 359(1), pages 35-68.
    36. Dario Cziraky & Max Gillman, 2004. "Inflation and Endogenous Growth in Underground Economies," wiiw Balkan Observatory Working Papers 50, The Vienna Institute for International Economic Studies, wiiw.

  53. Geweke, John & Meese, Richard, 1981. "Estimating regression models of finite but unknown order," Journal of Econometrics, Elsevier, vol. 16(1), pages 162-162, May.

    Cited by:

    1. Peter R. Hartley, 1982. "Rational Expectations and the Foreign Exchange Market," NBER Working Papers 0863, National Bureau of Economic Research, Inc.
    2. Medel, Carlos A., 2012. "¿Akaike o Schwarz? ¿Cuál elegir para predecir el PIB chileno? [Akaike or Schwarz? Which One is a Better Predictor of Chilean GDP?]," MPRA Paper 35950, University Library of Munich, Germany.
    3. Ariel Pakes & Zvi Griliches, 1982. "Estimating Distributed Lags in Short Panels with an Application to the Specification of Depreciation Patterns and Capital Stock Constructs," NBER Working Papers 0933, National Bureau of Economic Research, Inc.
    4. Bernard, John C. & Willett, Lois Schertz, 1994. "The Impact of Lag Determination on Price Relationships in the U.S. Broiler Industry," Staff Papers 121315, Cornell University, Department of Applied Economics and Management.
    5. Adrian Bruhin & Ernst Fehr & Daniel Schunk, 2019. "The many Faces of Human Sociality: Uncovering the Distribution and Stability of Social Preferences," Journal of the European Economic Association, European Economic Association, vol. 17(4), pages 1025-1069.
    6. Goette, Lorenz & Bruhin, Adrian & Haenni, Simon & Jiang, Lingqing, 2015. "Spillovers of Prosocial Motivation: Evidence from an Intervention Study on Blood Donors," CEPR Discussion Papers 10345, C.E.P.R. Discussion Papers.
    7. Christopher Laincz & Pietro Peretto, 2006. "Scale effects in endogenous growth theory: an error of aggregation not specification," Journal of Economic Growth, Springer, vol. 11(3), pages 263-288, September.
    8. Pereda, Javier, 2010. "Estimación de la Tasa Natural de Interés para el Perú: Un Enfoque Financiero," Working Papers 2010-018, Banco Central de Reserva del Perú.
    9. Jose Veiga, Francisco, 1999. "What causes the failure of inflation stabilization plans?," Journal of International Money and Finance, Elsevier, vol. 18(2), pages 169-194, February.
    10. Dallas S. Batten & Daniel L. Thornton, 1984. "Lag length selection and Granger causality," Working Papers 1984-001, Federal Reserve Bank of St. Louis.
    11. Nilss Olekalns, 1995. "The Effect of Nominal Demand Shocks on Manufacturing Output: Evidence from Disaggregated Australian Data," The Economic Record, The Economic Society of Australia, vol. 71(1), pages 66-76, March.
    12. Koskela, Erkki & Virén, Matti, 1988. "Dynamics of the demand for money and uncertainty: The U.S. demand for money revisited," Bank of Finland Research Discussion Papers 4/1988, Bank of Finland.
    13. Thomas C. Glaessner, 1982. "Formulation and estimation of a dynamic model of exchange rate determination: an application of general method of moments techniques," International Finance Discussion Papers 208, Board of Governors of the Federal Reserve System (U.S.).
    14. Jushan Bai & Serena Ng, 2000. "Determining the Number of Factors in Approximate Factor Models," Econometric Society World Congress 2000 Contributed Papers 1504, Econometric Society.
    15. Larry W. Taylor, 2009. "Penalized‐R2 Criteria For Model Selection," Manchester School, University of Manchester, vol. 77(6), pages 699-717, December.
    16. Dharmasena, Senarath & Bessler, David, 2004. "Weak-Form Efficiency Vs Semi-Strong Form Efficiency in Price Discovery: an Application to International Black Tea Markets," Sri Lankan Journal of Agricultural Economics, Sri Lanka Agricultural Economics Association (SAEA), vol. 6, pages 1-25.
    17. Annika Alexius & Jonny Nilsson, 2000. "Real Exchange Rates and Fundamentals: Evidence from 15 OECD Countries," Open Economies Review, Springer, vol. 11(4), pages 383-397, October.
    18. Kamas, Linda, 1995. "Monetary policy and inflation under the crawling peg: Some evidence from VARs for Colombia," Journal of Development Economics, Elsevier, vol. 46(1), pages 145-161, February.
    19. Dallas S. Batten & Daniel L. Thornton, 1984. "How robust are the policy conclusions of the St. Louis equation?: some further evidence," Review, Federal Reserve Bank of St. Louis, vol. 66(Jun).
    20. Danks, Nicholas P. & Sharma, Pratyush N. & Sarstedt, Marko, 2020. "Model selection uncertainty and multimodel inference in partial least squares structural equation modeling (PLS-SEM)," Journal of Business Research, Elsevier, vol. 113(C), pages 13-24.
    21. Kim, Jae-Young, 2014. "An alternative quasi likelihood approach, Bayesian analysis and data-based inference for model specification," Journal of Econometrics, Elsevier, vol. 178(P1), pages 132-145.
    22. Massimo Guidolin & Manuela Pedio, 2022. "Switching Coefficients or Automatic Variable Selection: An Application in Forecasting Commodity Returns," Forecasting, MDPI, vol. 4(1), pages 1-32, February.
    23. Peter J. Saunders & Basudeb Biswas, 1990. "The Money Stock, the Price Level and Real Output: A Trivariate Analysis," Eastern Economic Journal, Eastern Economic Association, vol. 16(2), pages 145-150, Apr-Jun.
    24. Huang, Wei & Lai, Pei-Chun & Bessler, David A., 2018. "On the changing structure among Chinese equity markets: Hong Kong, Shanghai, and Shenzhen," European Journal of Operational Research, Elsevier, vol. 264(3), pages 1020-1032.
    25. Rik Hafer & Richard G. Sheehan, 1987. "On the sensitivity of VAR forecasts to alternative lag structures," Working Papers 1987-004, Federal Reserve Bank of St. Louis.
    26. Juodis, Artūras & Sarafidis, Vasilis, 2022. "An incidental parameters free inference approach for panels with common shocks," Journal of Econometrics, Elsevier, vol. 229(1), pages 19-54.
    27. Basco, Rodrigo & Hair, Joseph F. & Ringle, Christian M. & Sarstedt, Marko, 2022. "Advancing family business research through modeling nonlinear relationships: Comparing PLS-SEM and multiple regression," Journal of Family Business Strategy, Elsevier, vol. 13(3).
    28. Moonsoo Park & Yanhong H. Jin & David A. Bessler, 2008. "The impacts of animal disease crises on the Korean meat market," Agricultural Economics, International Association of Agricultural Economists, vol. 39(2), pages 183-195, September.
    29. Bierens, H.J., 1988. "Nonlinear regression with discrete explanatory variables," Serie Research Memoranda 0061, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    30. A. J. Errington & L. Harrison Mayfield & Y. Khatri & R. Townsend, 1997. "Estimating the price elasticity of demand for family and hired farm labour in England and Wales," Applied Economics, Taylor & Francis Journals, vol. 29(12), pages 1561-1574.
    31. Dell'Anno, Roberto & Pergolizzi, Antonio & Pittiglio, Rosanna & Reganati, Filippo, 2020. "Waste crime in Italian Regions: A Structural Equation Approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    32. E Philip Davis & Dilruba Karim & Dennison Noel, 2019. "The Bank Capital-Competition-Risk Nexus - A Global Perspective," National Institute of Economic and Social Research (NIESR) Discussion Papers 500, National Institute of Economic and Social Research.
    33. Schimmelpfennig, David & Thirtle, Colin & van Zyl, Johan & Arnade, Carlos & Khatri, Yougesh, 2000. "Short and long-run returns to agricultural R&D in South Africa, or will the real rate of return please stand up?," Agricultural Economics, Blackwell, vol. 23(1), pages 1-15, June.
    34. Serena Ng & Pierre Perron, 2005. "A Note on the Selection of Time Series Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 67(1), pages 115-134, February.
    35. Ng, Serena, 2013. "Variable Selection in Predictive Regressions," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 752-789, Elsevier.
    36. Golosnoy, Vasyl & Gribisch, Bastian & Liesenfeld, Roman, 2010. "The conditional autoregressive wishart model for multivariate stock market volatility," Economics Working Papers 2010-07, Christian-Albrechts-University of Kiel, Department of Economics.
    37. Judith A. Giles & Sadaf Mirza, 1999. "Some Pretesting Issues on Testing for Granger Noncausality," Econometrics Working Papers 9914, Department of Economics, University of Victoria.
    38. Jahyeong Koo & Paul A. Johnson, 2004. "Feedback between US and UK Prices: a Frequency Domain Analysis," Economics Bulletin, AccessEcon, vol. 6(17), pages 1-9.
    39. Massimo Guidolin & Manuela Pedio, 2020. "Distilling Large Information Sets to Forecast Commodity Returns: Automatic Variable Selection or HiddenMarkov Models?," BAFFI CAREFIN Working Papers 20140, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    40. Park, Haesun & Mjelde, James W. & Bessler, David A., 2006. "Price dynamics among U.S. electricity spot markets," Energy Economics, Elsevier, vol. 28(1), pages 81-101, January.
    41. Carlos A. Medel & Sergio C. Salgado, 2012. "Does BIC Estimate and Forecast Better Than AIC?," Working Papers Central Bank of Chile 679, Central Bank of Chile.
    42. Hidalgo, Javier, 2002. "Consistent order selection with strongly dependent data and its application to efficient estimation," Journal of Econometrics, Elsevier, vol. 110(2), pages 213-239, October.
    43. Bessler, David A., 2009. "Effects of Soybean Checkoff Research Expenditures on U.S. Soybean Yields and Net Revenue: A Time Series Analysis," Reports 90494, Texas A&M University, Agribusiness, Food, and Consumer Economics Research Center.
    44. Nilss Olekalns, 1997. "Australian Evidence on Tax Smoothing and the Optimal Budget Surplus," The Economic Record, The Economic Society of Australia, vol. 73(222), pages 248-257, September.
    45. Bai, Jushan, 2004. "Estimating cross-section common stochastic trends in nonstationary panel data," Journal of Econometrics, Elsevier, vol. 122(1), pages 137-183, September.
    46. T. Speed & Bin Yu, 1993. "Model selection and prediction: Normal regression," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 45(1), pages 35-54, March.
    47. Ouysse, Rachida, 2006. "Consistent variable selection in large panels when factors are observable," Journal of Multivariate Analysis, Elsevier, vol. 97(4), pages 946-984, April.
    48. McDonald, Bruce D. & Miller, D. Ryan, 2010. "Welfare programs and the state economy," Journal of Policy Modeling, Elsevier, vol. 32(6), pages 719-732, November.
    49. Shiva, Layla & Bessler, David A. & McCarl, Bruce A., 2014. "On the Dynamics of Price Discovery: Energy and Agricultural Markets with and without the Renewable Fuels Mandate," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 169780, Agricultural and Applied Economics Association.
    50. Stock, James H. & Watson, Mark, 2011. "Dynamic Factor Models," Scholarly Articles 28469541, Harvard University Department of Economics.
    51. Karl Derouen & Uk Heo, 2004. "Reward, punishment or inducement? US economic and military aid, 1946-1996," Defence and Peace Economics, Taylor & Francis Journals, vol. 15(5), pages 453-470.
    52. Hidalgo, Javier, 2002. "Consistent order selection with strongly dependent data and its application to efficient estimation," LSE Research Online Documents on Economics 6856, London School of Economics and Political Science, LSE Library.
    53. Khatri, Y. & Schimmelpfennig, D. & Thirtle, C. & van Zyl, J., 1996. "Refining Returns To Research And Development In South African Commercial Agriculture," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 35(4), December.
    54. Ishwaran, Hemant & Sunil Rao, J., 2011. "Consistency of spike and slab regression," Statistics & Probability Letters, Elsevier, vol. 81(12), pages 1920-1928.
    55. Sarker, Rakhal, 1990. "Testing Causality in Economics: A Review," Department of Agricultural Economics and Business 258629, University of Guelph.
    56. McQuarrie, Allan D., 1999. "A small-sample correction for the Schwarz SIC model selection criterion," Statistics & Probability Letters, Elsevier, vol. 44(1), pages 79-86, August.
    57. Claude Deniau & Georges Fiori & Alexandre Mathis, 1992. "Sélection du nombre de retards dans un modèle VAR : conséquences éventuelles du choix des critères," Économie et Prévision, Programme National Persée, vol. 106(5), pages 61-69.
    58. Carvalho, Glauco Rodrigues & Bessler, David & Hemme, Torsten & Schröer-Merker, Eva, 2015. "Understanding International Milk Price Relationships," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196692, Southern Agricultural Economics Association.
    59. John A. MacDonald & Hany A. Shawky, 1995. "On Estimating Stock Market Volatility: An Exploratory Approach," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 18(4), pages 449-463, December.
    60. Fujihara, Roger A. & Mougoue, Mbodja, 1996. "International linkages between short-term real interest rates," The Quarterly Review of Economics and Finance, Elsevier, vol. 36(4), pages 451-473.
    61. Carlos A. Medel Vera, 2011. "¿Akaike o Schwarz? ¿Cuál utilizar para predecir el PIB chileno?," Monetaria, CEMLA, vol. 0(4), pages 591-615, octubre-d.
    62. Michael T. Belongia, 1984. "Money growth variability and GNP," Review, Federal Reserve Bank of St. Louis, vol. 66(Apr), pages 23-31.
    63. Daniel J Lewis, 2021. "Identifying Shocks via Time-Varying Volatility [First Order Autoregressive Processes and Strong Mixing]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(6), pages 3086-3124.
    64. Christopher A. Laincz & Pietro F. Peretto, 2004. "Scale Effects, An Error of Aggregation Not Specification: Empirical Evidence," DEGIT Conference Papers c009_037, DEGIT, Dynamics, Economic Growth, and International Trade.
    65. Sidika Basci & Asad Zaman, 1998. "Variance Estimates and Model Selection," Working Papers 9814, Department of Economics, Bilkent University.
    66. Mbodja Mougoué & Ramesh P. Rao, 2003. "The Information Signaling Hypothesis of Dividends: Evidence from Cointegration and Causality Tests," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(3‐4), pages 441-478, April.
    67. Davidson, James & Terasvirta, Timo, 2002. "Long memory and nonlinear time series," Journal of Econometrics, Elsevier, vol. 110(2), pages 105-112, October.
    68. Xiaojie Xu, 2020. "Corn Cash Price Forecasting," American Journal of Agricultural Economics, John Wiley & Sons, vol. 102(4), pages 1297-1320, August.
    69. Cerruti, Davide, 2013. "No free polluting anymore: The impact of a vehicle pollution charge on air quality," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150575, Agricultural and Applied Economics Association.
    70. Liew Khim Sen & Mahendran Shitan, 2003. "The Performance of AICC as an Order Selection Criterion in ARMA Time Series Models," GE, Growth, Math methods 0307003, University Library of Munich, Germany.
    71. Daniel Fernández, 2011. "Suficiencia del capital y previsiones de la banca uruguaya por su exposición al sector industrial," Monetaria, CEMLA, vol. 0(4), pages 517-589, octubre-d.
    72. Galbraith, John W. & Zinde-Walsh, Victoria, 2004. "Évaluation de critères d’information pour les modèles de séries chronologiques," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(2), pages 207-227, Juin-Sept.
    73. Waterman, David & Weiss, Andrew A., 1996. "The effects of vertical integration between cable television systems and pay cable networks," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 357-395.
    74. Uk Heo & Robert J. Eger III, 2005. "Paying for Security," Journal of Conflict Resolution, Peace Science Society (International), vol. 49(5), pages 792-817, October.
    75. K.R. Sawyer, 1982. "Parsimony in Model Selection," Economics Discussion / Working Papers 82-10, The University of Western Australia, Department of Economics.
    76. Mohammad Ashraf & Khan A. Mohabbat, 2010. "Output Convergence and the Role of Research and Development," Annals of Economics and Finance, Society for AEF, vol. 11(1), pages 35-71, May.
    77. Guyon, Xavier & Yao, Jian-feng, 1999. "On the Underfitting and Overfitting Sets of Models Chosen by Order Selection Criteria," Journal of Multivariate Analysis, Elsevier, vol. 70(2), pages 221-249, August.
    78. D. Hallam, 1990. "Agricultural Research Expenditures And Agricultural Productivity Change," Journal of Agricultural Economics, Wiley Blackwell, vol. 41(3), pages 434-439, September.
    79. Whitelaw, Robert F, 1994. "Time Variations and Covariations in the Expectation and Volatility of Stock Market Returns," Journal of Finance, American Finance Association, vol. 49(2), pages 515-541, June.
    80. Tamara Burdisso & Eduardo Ariel Corso, 2011. "Incertidumbre y dolarización de cartera: el caso argentino en el último medio siglo," Monetaria, CEMLA, vol. 0(4), pages 461-515, octubre-d.
    81. Wankeun Oh, 2002. "Cointegration and Structural Change: An Application to the U.S. Demand for Money," Economic Inquiry, Western Economic Association International, vol. 40(1), pages 91-101, January.
    82. Kim, Jae-Young, 2012. "Model selection in the presence of nonstationarity," Journal of Econometrics, Elsevier, vol. 169(2), pages 247-257.
    83. McCullough, B. D., 1997. "An analysis of stock market transactions data," The Quarterly Review of Economics and Finance, Elsevier, vol. 37(4), pages 887-903.
    84. Javier Hidalgo, 2002. "Consistent Order Selection with Strongly Dependent Data and its Application to Efficient Estimation," STICERD - Econometrics Paper Series 430, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.

  54. Geweke, John F & Feige, Edgar L, 1979. "Some Joint Tests of the Efficiency of Markets for Forward Foreign Exchange," The Review of Economics and Statistics, MIT Press, vol. 61(3), pages 334-341, August.

    Cited by:

    1. Robert J. Hodrick & Sanjay Srivastava, 1983. "An Investigation of Risk and Return in Forward Foreign Exchange," NBER Working Papers 1180, National Bureau of Economic Research, Inc.
    2. Craig S. Hakkio, 1980. "Expectations and the Forward Exchange Rate," NBER Working Papers 0439, National Bureau of Economic Research, Inc.
    3. Campbell, John Y. & Clarida, Richard H., 1987. "The term structure of euromarket interest rates : An empirical investigation," Journal of Monetary Economics, Elsevier, vol. 19(1), pages 25-44, January.
    4. Richard K. Lyons, 1986. "Tests of the foreign exchange risk premium using the expected second moments implied by option pricing," International Finance Discussion Papers 290, Board of Governors of the Federal Reserve System (U.S.).
    5. Razzaque Bhatti & Imad Moosa, 1995. "An alternative approach to testing uncovered interest parity," Applied Economics Letters, Taylor & Francis Journals, vol. 2(12), pages 478-481.
    6. Barry A. Goss & S. Gulay Avsar, 2016. "Can Economists Forecast Exchange Rates? The Debate Re-Visited: The Case of the USD/GBP Market," Australian Economic Papers, Wiley Blackwell, vol. 55(1), pages 14-28, March.
    7. Carol L. Osler, 1989. "Interest Rate Term Premiums and the Failure of the Speculative Efficiency Hypothesis: A Theoretical Investigation," NBER Working Papers 3060, National Bureau of Economic Research, Inc.
    8. Baxter, Timothy M. & Smith, Mark E., 1987. "Exchange Rate Risk, Dollar Appreciation, And U.S. Export Credit Programs," Staff Reports 277944, United States Department of Agriculture, Economic Research Service.
    9. Peter Isard, 1983. "What's wrong with empirical exchange rate models: some critical issues and new directions," International Finance Discussion Papers 226, Board of Governors of the Federal Reserve System (U.S.).
    10. Fabio Canova & Takatoshi Ito, 1988. "On Time-Series Properties of Time-Varying Risk Premium in the Yen/Dollar Exchange Market," NBER Working Papers 2678, National Bureau of Economic Research, Inc.
    11. Alejandro Islas-Camargo & Willy Walter Cortez & Tania Pamela Sanabria Flores, 2018. "Is Mexico's Forward Exchange Rate Market Efficient?," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 13(2), pages 273-289, Abril-Jun.
    12. José Saúl Lizondo, 1983. "Interest Differential and Covered Arbitrage," NBER Chapters, in: Financial Policies and the World Capital Market: The Problem of Latin American Countries, pages 221-244, National Bureau of Economic Research, Inc.
    13. Raj Aggarwal & Brian M. Lucey & Sunil K. Mohanty, 2006. "The Forward Exchange Rate Bias Puzzle: Evidence from New Cointegration Tests," The Institute for International Integration Studies Discussion Paper Series iiisdp123, IIIS.
    14. Shyh-Wei Chen, 2010. "Testing the hypothesis of market efficiency in the Taiwan-US forward exchange market since 1990," Applied Economics, Taylor & Francis Journals, vol. 42(1), pages 121-132.
    15. Heinrich W. Ursprung, 1982. "Einige Bemerkungen zur empirischen Überprüfung der Effizienzhypothese für Devisenterminmärkte," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 118(I), pages 81-92, March.
    16. Ross Levine, 1988. "The forward exchange rate bias: a new explanation," International Finance Discussion Papers 338, Board of Governors of the Federal Reserve System (U.S.).
    17. Hu, Xiaoqiang, 1997. "Macroeconomic uncertainty and the risk premium in the foreign exchange market1," Journal of International Money and Finance, Elsevier, vol. 16(5), pages 699-718, September.
    18. John Pippenger, 1991. "Forward rates as predictors of future spot rates in small open economies: The case of Kuwait," Open Economies Review, Springer, vol. 2(2), pages 183-201, June.
    19. Takatoshi Ito, 1984. "Use of (Time-Domain) Vector Autoregressions to Test Uncovered Interest Parity," NBER Working Papers 1493, National Bureau of Economic Research, Inc.
    20. Engel, Charles & Rodrigues, Anthony P, 1989. "Tests of International CAPM with Time-Varying Covariances," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 4(2), pages 119-138, April-Jun.
    21. Dietmar Janetzko, 2014. "Using Twitter to Model the EUR/USD Exchange Rate," Papers 1402.1624, arXiv.org.
    22. Markus Granziol, 1980. "Rationale Erwartungen und Devisenkurse: Ergebnisse einer Multimarkt-Effizienzuntersuchung des Dollar/Franken- und Deutsche Mark/Franken - Einmonatsterminmarktes," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 116(IV), pages 423-434, December.
    23. Warren J. Tease, 1988. "Speculative Efficiency and the Exchange Rate: Some Evidence Since the Float," The Economic Record, The Economic Society of Australia, vol. 64(1), pages 2-13, March.
    24. Anil Kumar Sharma & Anujit Mitra, 2007. "What Drives Forward Premia in Indian Forex Market?," Working Papers id:795, eSocialSciences.
    25. Stephen J. Turnovsky & Katrina M. Ball, 1983. "Covered Interest Parity and Speculative Efficiency: Some Empirical Evidence for Australia," The Economic Record, The Economic Society of Australia, vol. 59(3), pages 271-280, September.
    26. Michael R. Darby, 1983. "Monetary Policy in the Large Open Economy," NBER Working Papers 1127, National Bureau of Economic Research, Inc.
    27. Thomas Chiang & Thomas Hindelang, 1988. "Forward rate, spot rate and risk premium: An empirical analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 124(1), pages 74-88, March.
    28. Wang, Peijie & Jones, Trefor, 2002. "Testing for efficiency and rationality in foreign exchange markets--a review of the literature and research on foreign exchange market efficiency and rationality with comments," Journal of International Money and Finance, Elsevier, vol. 21(2), pages 223-239, April.
    29. Brian Lucey & Grace Loring, 2012. "Forward Exchange Rate Biasedness across Developed and Developing Country Currencies - Do Observed Patterns Persist Out of Sample?Abstract:," The Institute for International Integration Studies Discussion Paper Series iiisdp404, IIIS.
    30. Patrick M. Parkinson, 1982. "Estimating the hedging effectiveness of Treasury bill futures: an alternative approach," International Finance Discussion Papers 196, Board of Governors of the Federal Reserve System (U.S.).
    31. John F. O. Bilson, 1980. "The "Speculative Efficiency" Hypothesis," NBER Working Papers 0474, National Bureau of Economic Research, Inc.
    32. David A. Hsieh, 1982. "Tests of Rational Expectations and No Risk Premium in Forward Exchange Markats," NBER Working Papers 0843, National Bureau of Economic Research, Inc.
    33. Robert E. Cumby & Maurice Obstfeld, 1984. "International Interest Rate and Price Level Linkages under Flexible Exchange Rates: A Review of Recent Evidence," NBER Chapters, in: Exchange Rate Theory and Practice, pages 121-152, National Bureau of Economic Research, Inc.
    34. Raj Aggarwal & Winston T. Lin & Sunil K. Mohanty, 2008. "Are Forward Exchange Rates Rational Forecasts of Future Spot Rates? An Improved Econometric Analysis for the Major Currencies," Multinational Finance Journal, Multinational Finance Journal, vol. 12(1-2), pages 1-20, March-Jun.
    35. Brenner, Robin J. & Kroner, Kenneth F., 1995. "Arbitrage, Cointegration, and Testing the Unbiasedness Hypothesis in Financial Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(1), pages 23-42, March.
    36. Christodoulakis, Nicos M. & Kalyvitis, Sarantis C., 1997. "Efficiency testing revisited: a foreign exchange market with Bayesian learning," Journal of International Money and Finance, Elsevier, vol. 16(3), pages 367-385, June.
    37. Bhatti, Razzaque H., 2014. "The existence of uncovered interest parity in the CIS countries," Economic Modelling, Elsevier, vol. 40(C), pages 227-241.
    38. Alberto Giovannini, 1980. "The deviations from interest rate parity along the term structure of forward exchange rates," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 116(2), pages 225-234, June.
    39. Dietmar Janetzko, 2014. "Predictive modeling in turbulent times – What Twitter reveals about the EUR/USD exchange rate," Netnomics, Springer, vol. 15(2), pages 69-106, September.
    40. Sundar, Cuddalore & Varela, Oscar & Naka, Atsuyuki, 1997. "Black market and official exchange rates, cointegration and purchasing power parity in developing Asian countries," Global Finance Journal, Elsevier, vol. 8(2), pages 221-238.
    41. Loring, Grace & Lucey, Brian, 2013. "An analysis of forward exchange rate biasedness across developed and developing country currencies: Do observed patterns persist out of sample?," Emerging Markets Review, Elsevier, vol. 17(C), pages 14-28.
    42. Phungo, Muka & Bonga-Bonga, Lumengo, 2019. "An analysis of the unbiased forward rate hypothesis in developed and emerging economies," MPRA Paper 92222, University Library of Munich, Germany.
    43. Fu, Hsuan & Luger, Richard, 2022. "Multiple testing of the forward rate unbiasedness hypothesis across currencies," Journal of Empirical Finance, Elsevier, vol. 68(C), pages 232-245.

  55. Geweke, John, 1978. "Testing the exogeneity specification in the complete dynamic simultaneous equation model," Journal of Econometrics, Elsevier, vol. 7(2), pages 163-185, June.

    Cited by:

    1. Banerjee, A. & Weaver, Robert D., 1982. "Cash Price Stability in the Presence of Futures Markets: A Multivariate Causality Test for Live Beef Cattle," 1982 Annual Meeting, August 1-4, Logan, Utah 279460, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Grant Kirkpatrick, 1981. "Further results on the time series analysis of real wages and employment for U. S. manufacturing, 1948–1977," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 117(2), pages 326-351, June.
    3. Thomas C. Glaessner, 1982. "Formulation and estimation of a dynamic model of exchange rate determination: an application of general method of moments techniques," International Finance Discussion Papers 208, Board of Governors of the Federal Reserve System (U.S.).
    4. Warren Dent & John Geweke, 1980. "On Specification in Simultaneous Equation Models," NBER Chapters, in: Evaluation of Econometric Models, pages 169-196, National Bureau of Economic Research, Inc.
    5. Weaver, Robert D. & Stefanou, Spiro E., 1984. "Toward A Behavioral Approach To Modelling Dynamic Production Choice Structures," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 13(2), pages 1-14, October.
    6. Swati Singh & Naveen Srinivasan, 2020. "The Oil Story: Is it Still the Same?," Working Papers 2020-197, Madras School of Economics,Chennai,India.
    7. Paul A. Anderson, 1979. "A test of the exogeneity of national variables in a regional econometric model," Working Papers 124, Federal Reserve Bank of Minneapolis.
    8. Weaver, Robert D., 1979. "Survey of Promising Developments in Supply Response: Pre- and Post-Data Econometric Methods for Integration of Neo-Classical Theory with Sample Evidence," Staff Paper Series 256836, Pennsylvania State University, Department of Agricultural Economics and Rural Sociology.
    9. Ira G. Kawaller & Paul D. Koch & Timothy W. Koch, 1993. "Intraday Market Behavior And The Extent Of Feedback Between S&P 500 Futures Prices And The S&P 500 Index," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 16(2), pages 107-121, June.
    10. Bracker, Kevin & Docking, Diane Scott & Koch, Paul D., 1999. "Economic determinants of evolution in international stock market integration," Journal of Empirical Finance, Elsevier, vol. 6(1), pages 1-27, January.
    11. Joseph Bisignano & Kevin Hoover, 1982. "Some suggested improvements to a simple portfolio balance model of exchange rate determination with special reference to the U. S. dollar/Canadian dollar rate," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 118(1), pages 19-38, March.
    12. Banerjee, Aniruddha, 2003. "Does incentive regulation 'cause' degradation of retail telephone service quality?," Information Economics and Policy, Elsevier, vol. 15(2), pages 243-269, June.

  56. Geweke, John F, 1978. "Temporal Aggregation in the Multiple Regression Model," Econometrica, Econometric Society, vol. 46(3), pages 643-661, May.

    Cited by:

    1. Janelle Mann, 2016. "Rockets and feathers meet markup margins: Applications to the oil and gasoline industry," Canadian Journal of Economics, Canadian Economics Association, vol. 49(2), pages 772-788, May.
    2. Qian, Hang, 2012. "Essays on statistical inference with imperfectly observed data," ISU General Staff Papers 201201010800003618, Iowa State University, Department of Economics.
    3. Lawrence J. Christiano & Martin S. Eichenbaum & David A. Marshall, 1990. "The permanent income hypothesis revisited," Staff Report 129, Federal Reserve Bank of Minneapolis.
    4. Nijman, T.E. & Palm, F.C., 1987. "Predictive accuracy gain from disaggregate sampling in ARIMA-models," Research Memorandum FEW 273, Tilburg University, School of Economics and Management.
    5. Arthur Thomas & Olivier Massol & Benoît Sévi, 2020. "How are Day-Ahead Prices Informative for Predicting the Next Day’s Consumption of Natural Gas ?," Working Papers hal-03178474, HAL.
    6. Qin, Xiao & Zhou, Chunyang & Wu, Chongfeng, 2016. "Revisiting asymmetric price transmission in the U.S. oil-gasoline markets: A multiple threshold error-correction analysis," Economic Modelling, Elsevier, vol. 52(PB), pages 583-591.
    7. Aadland, David, 2005. "Detrending time-aggregated data," Economics Letters, Elsevier, vol. 89(3), pages 287-293, December.
    8. Chang, Tsangyao & Hsu, Chen-Min & Chen, Sheng-Tung & Wang, Mei-Chih & Wu, Cheng-Feng, 2023. "Revisiting economic growth and CO2 emissions nexus in Taiwan using a mixed-frequency VAR model," Economic Analysis and Policy, Elsevier, vol. 79(C), pages 319-342.
    9. Goriaev, A.P. & Nijman, T.E. & Werker, B.J.M., 2002. "The Dynamics of the Impact of Past Performance on Mutual Fund Flows," Other publications TiSEM a3f30143-faf0-45a8-86ac-9, Tilburg University, School of Economics and Management.
    10. Jacint Balaguer & Jordi Ripollés, 2016. "Exploring the life of price responses in fuel markets. Mean group data or mean group estimator?," Working Papers 2016/16, Economics Department, Universitat Jaume I, Castellón (Spain).
    11. Amir Fekrazad & Syed M. Harun & Naafey Sardar, 2022. "Social media sentiment and the stock market," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(2), pages 397-419, April.
    12. Mamingi Nlandu, 2017. "Beauty and Ugliness of Aggregation over Time: A Survey," Review of Economics, De Gruyter, vol. 68(3), pages 205-227, December.
    13. Lance J. Bachmeier & James M. Griffin, 2003. "New Evidence on Asymmetric Gasoline Price Responses," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 772-776, August.
    14. Palencia-González, Francisco J. & Navío-Marco, Julio & Juberías-Cáceres, Gema, 2020. "Analysis of brand influence in the rockets and feathers effect using disaggregated data," Research in International Business and Finance, Elsevier, vol. 52(C).
    15. Nijman, T.E. & Palm, F.C., 1987. "Predictive accuracy gain from disaggregate sampling in ARIMA-models," Other publications TiSEM 73cf32e2-d741-45a0-8b3e-f, Tilburg University, School of Economics and Management.
    16. Andrea Silvestrini & David Veredas, 2008. "Temporal Aggregation Of Univariate And Multivariate Time Series Models: A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 22(3), pages 458-497, July.
    17. Linton, Oliver B. & Mammen, Enno, 2008. "Nonparametric transformation to white noise," Journal of Econometrics, Elsevier, vol. 142(1), pages 241-264, January.
    18. Lyon, Charles C. & Thompson, Gary D., 1991. "Model Selection With Temporal And Spatial Aggregation: Alternative Marketing Margin Models," Staff Papers 13253, University of Minnesota, Department of Applied Economics.
    19. Balaguer, Jacint & Ripollés, Jordi, 2016. "Asymmetric fuel price responses under heterogeneity," Energy Economics, Elsevier, vol. 54(C), pages 281-290.
    20. Deltas, George & Polemis, Michael, 2018. "Estimating retail gasoline price dynamics: The effects of sample characteristics and research design," MPRA Paper 89570, University Library of Munich, Germany.
    21. Balaguer, Jacint & Ripollés, Jordi, 2012. "Testing for price response asymmetries in the Spanish fuel market. New evidence from daily data," Energy Economics, Elsevier, vol. 34(6), pages 2066-2071.
    22. Chua, Chew Lian & De Silva, Chamaka & Suardi, Sandy, 2017. "Do petrol prices increase faster than they fall in market disequilibria?," Energy Economics, Elsevier, vol. 61(C), pages 135-146.
    23. Eric Ghysels & Pedro Santa-Clara & Rossen Valkanov, 2004. "The MIDAS Touch: Mixed Data Sampling Regression Models," CIRANO Working Papers 2004s-20, CIRANO.
    24. Atems, Bebonchu & Sardar, Naafey, 2021. "Exploring asymmetries in the effects of El Niño-Southern Oscillation on U.S. food and agricultural stock prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 1-14.
    25. Christopher M. Adam, 1980. "Some Estimation Effects of Selecting Economic Policy Horizons for Macroeconomic Models," The Economic Record, The Economic Society of Australia, vol. 56(155), pages 374-377, December.
    26. Bremmer, Dale S. & Kesselring, Randall G., 2016. "The relationship between U.S. retail gasoline and crude oil prices during the Great Recession: “Rockets and feathers” or “balloons and rocks” behavior?," Energy Economics, Elsevier, vol. 55(C), pages 200-210.
    27. Andrii Babii, 2022. "High-Dimensional Mixed-Frequency IV Regression," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(4), pages 1470-1483, October.
    28. Elena Andreou, Eric Ghysels & Eric Ghysels & Andros Kourtellos, 2007. "Regression Models with Mixed Sampling Frequencies," University of Cyprus Working Papers in Economics 8-2007, University of Cyprus Department of Economics.
    29. Riemer P. Faber, 2015. "More New Evidence on Asymmetric Gasoline Price Responses," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    30. Giusto Andrea & İşcan Talan B., 2018. "The Rescaled VAR Model with an Application to Mixed-Frequency Macroeconomic Forecasting," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 22(4), pages 1-16, September.
    31. David Ashton & Mark Tippett, 2006. "Mean Reversion and the Distribution of United Kingdom Stock Index Returns," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(9‐10), pages 1586-1609, November.
    32. Wlaslowski, Szymon & Binner, Jane & Guiletti, Monica & Joseph, Nathan & Nilsson, Birger, 2007. "New York mark-ups on petroleum products," Working Papers 2008:2, Lund University, Department of Economics.
    33. Bent Jesper Christensen & Olaf Posch & Michel van der Wel, 2014. "Estimating Dynamic Equilibrium Models Using Mixed Frequency Macro and Financial Data," CESifo Working Paper Series 5030, CESifo.
    34. Wlazlowski, Szymon & Binner, Jane & Giulietti, Monica & Joseph, Nathan, 2006. "Non-linearities in mark-up on costs," MPRA Paper 1468, University Library of Munich, Germany.
    35. Gulasekaran Rajaguru & Ahmed M Khalid & Francesco Barbera, 2014. "It’s not yen, euro or koala bloc: Greenback is still dominant in East Asia," Australian Journal of Management, Australian School of Business, vol. 39(4), pages 549-571, November.
    36. Qian, Hang, 2010. "Linear regression using both temporally aggregated and temporally disaggregated data: Revisited," MPRA Paper 32686, University Library of Munich, Germany.
    37. Lo Prete, Chiara & Norman, Catherine S., 2013. "Rockets and feathers in power futures markets? Evidence from the second phase of the EU ETS," Energy Economics, Elsevier, vol. 36(C), pages 312-321.

Chapters

  1. Geweke, John & Whiteman, Charles, 2006. "Bayesian Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 1, pages 3-80, Elsevier.

    Cited by:

    1. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2012. "Time-varying Combinations of Predictive Densities using Nonlinear Filtering," Tinbergen Institute Discussion Papers 12-118/III, Tinbergen Institute.
    2. Federica Ciocchetta & Wanda Cornacchia, 2019. "Assessing financial stability risks from the real estate market in Italy: an update," Questioni di Economia e Finanza (Occasional Papers) 493, Bank of Italy, Economic Research and International Relations Area.
    3. Karlsson, Sune, 2012. "Forecasting with Bayesian Vector Autoregressions," Working Papers 2012:12, Örebro University, School of Business.
    4. Negro, Marco Del & Schorfheide, Frank, 2013. "DSGE Model-Based Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 57-140, Elsevier.
    5. Luis F. Melo Velandia & Rubén A. Loaiza Maya & Mauricio Villamizar-Villegas, 2014. "Bayesian Combination for Inflation Forecasts: The Effects of a Prior Based on Central Banks’ Estimates," Borradores de Economia 853, Banco de la Republica de Colombia.
    6. Lennart Hoogerheide & Richard Kleijn & Francesco Ravazzolo & Herman K. Van Dijk & Marno Verbeek, 2010. "Forecast accuracy and economic gains from Bayesian model averaging using time-varying weights," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 251-269.
    7. Amisano, Gianni & Geweke, John, 2007. "Hierarchical Markov normal mixture models with applications to financial asset returns," Working Paper Series 831, European Central Bank.
    8. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011. "Combining Predictive Densities using Bayesian Filtering with Applications to US Economics Data," Tinbergen Institute Discussion Papers 11-003/4, Tinbergen Institute.
    9. John M Maheu & Thomas H McCurdy, 2007. "Modeling foreign exchange rates with jumps," Working Papers tecipa-279, University of Toronto, Department of Economics.
    10. Pesaran, M.H. & Assenmacher-Wesche, K., 2007. "Assessing forecast uncertainties in a VECX* model for Switzerland: an exercise in forecast combination across models and observation windows," Cambridge Working Papers in Economics 0746, Faculty of Economics, University of Cambridge.
    11. John M Maheu & Thomas H McCurdy, 2007. "How useful are historical data for forecasting the long-run equity return distribution?," Working Papers tecipa-293, University of Toronto, Department of Economics.
    12. Corberán-Vallet, Ana & Bermúdez, José D. & Vercher, Enriqueta, 2011. "Forecasting correlated time series with exponential smoothing models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 252-265.
    13. Chun Liu & John M. Maheu, 2008. "Are There Structural Breaks in Realized Volatility?," Journal of Financial Econometrics, Oxford University Press, vol. 6(3), pages 326-360, Summer.
    14. Anne Sofie Jore & James Mitchell & Shaun Vahey, 2008. "Combining Forecast Densities from VARs with Uncertain Instabilities," Reserve Bank of New Zealand Discussion Paper Series DP2008/18, Reserve Bank of New Zealand.
    15. Liu, Chun & Maheu, John M., 2012. "Intraday dynamics of volatility and duration: Evidence from Chinese stocks," Pacific-Basin Finance Journal, Elsevier, vol. 20(3), pages 329-348.
    16. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    17. David Bolder & Yuliya Romanyuk, 2008. "Combining Canadian Interest-Rate Forecasts," Staff Working Papers 08-34, Bank of Canada.
    18. Nonejad, Nima, 2023. "Conditional out-of-sample predictability of aggregate equity returns and aggregate equity return volatility using economic variables," Journal of Empirical Finance, Elsevier, vol. 70(C), pages 91-122.
    19. Amisano, Gianni & Geweke, John, 2008. "Comparing and evaluating Bayesian predictive distributions of assets returns," Working Paper Series 969, European Central Bank.
    20. Colino, Evelyn V. & Irwin, Scott H. & Garcia, Philip, 2008. "How Much Can Outlook Forecasts be Improved? An Application to the U.S. Hog Market," 2008 Conference, April 21-22, 2008, St. Louis, Missouri 37620, NCCC-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    21. Andrea Carriero & Todd E. Clark & Massimiliano Marcellino, 2015. "Bayesian VARs: Specification Choices and Forecast Accuracy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(1), pages 46-73, January.
    22. Jochmann, Markus & Koop, Gary & Strachan, Rodney W., 2010. "Bayesian forecasting using stochastic search variable selection in a VAR subject to breaks," International Journal of Forecasting, Elsevier, vol. 26(2), pages 326-347, April.
    23. Bermúdez, José D. & Corberán-Vallet, Ana & Vercher, Enriqueta, 2009. "Multivariate exponential smoothing: A Bayesian forecast approach based on simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(5), pages 1761-1769.
    24. He, Zhongfang, 2009. "Forecasting output growth by the yield curve: the role of structural breaks," MPRA Paper 28208, University Library of Munich, Germany.
    25. Monica Billio & Roberto Casarin & Francesco Ravazzolo & Herman K. van Dijk, 2011. "Combination Schemes for Turning Point Predictions," Tinbergen Institute Discussion Papers 11-123/4, Tinbergen Institute.
    26. Todd E. Clark & Michael W. McCracken, 2006. "Forecasting of small macroeconomic VARs in the presence of instabilities," Research Working Paper RWP 06-09, Federal Reserve Bank of Kansas City.
    27. Carriero, Andrea & Clark, Todd E. & Marcellino, Massimiliano, 2019. "Large Bayesian vector autoregressions with stochastic volatility and non-conjugate priors," Journal of Econometrics, Elsevier, vol. 212(1), pages 137-154.
    28. Mark J Jensen & John M Maheu, 2012. "Estimating a Semiparametric Asymmetric Stochastic Volatility Model with a Dirichlet Process Mixture," Working Papers tecipa-453, University of Toronto, Department of Economics.
    29. Kim, Young Min & Lee, Seojin, 2020. "Exchange rate predictability: A variable selection perspective," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 117-134.
    30. Guidolin, Massimo & Ravazzolo, Francesco & Tortora, Andrea Donato, 2013. "Alternative econometric implementations of multi-factor models of the U.S. financial markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 53(2), pages 87-111.
    31. Scharnagl, Michael & Schumacher, Christian, 2007. "Reconsidering the role of monetary indicators for euro area inflation from a Bayesian perspective using group inclusion probabilities," Discussion Paper Series 1: Economic Studies 2007,09, Deutsche Bundesbank.
    32. Rafal Weron, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," HSC Research Reports HSC/14/07, Hugo Steinhaus Center, Wroclaw University of Technology.
    33. Baltagi, Badi H., 2013. "Panel Data Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 995-1024, Elsevier.
    34. Chew Lian Chua & Sandy Suardi & Sarantis Tsiaplias, 2011. "Predicting Short-Term Interest Rates: Does Bayesian Model Averaging Provide Forecast Improvement?," Melbourne Institute Working Paper Series wp2011n01, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    35. Nonejad, Nima, 2021. "Predicting equity premium using dynamic model averaging. Does the state–space representation matter?," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    36. Michiel D. de Pooter & Francesco Ravazzolo & Dick van Dijk, 2007. "Predicting the Term Structure of Interest Rates: Incorporating Parameter Uncertainty, Model Uncertainty and Macroeconomic Information," Tinbergen Institute Discussion Papers 07-028/4, Tinbergen Institute.
    37. Chun Liu & John M Maheu, 2010. "Intraday Dynamics of Volatility and Duration: Evidence from the Chinese Stock Market," Working Papers tecipa-401, University of Toronto, Department of Economics.
    38. Pestova, Anna (Пестова, Анна) & Mamonov, Mikhail (Мамонов, Михаил), 2016. "Estimating the Influence of Different Shocks on Macroeconomic Indicators and Developing Conditional Forecasts on the Basis of BVAR Model for the Russian Economy [Оценка Влияния Различных Шоков На Д," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 4, pages 56-92, August.
    39. Juan C. Méndez-Vizcaíno & Alexander Guarin & César Anzola-Bravo & Anderson Grajales-Olarte, 2021. "Characterizing and Communicating the Balance of Risks of Macroeconomic Forecasts: A Predictive Density Approach for Colombia," Borradores de Economia 1178, Banco de la Republica de Colombia.
    40. Christian Kascha & Francesco Ravazzolo, 2008. "Combining inflation density forecasts," Working Paper 2008/22, Norges Bank.
    41. Gonçalves Mazzeu, Joao Henrique & Ruiz Ortega, Esther & Veiga, Helena, 2015. "Model uncertainty and the forecast accuracy of ARMA models: A survey," DES - Working Papers. Statistics and Econometrics. WS ws1508, Universidad Carlos III de Madrid. Departamento de Estadística.
    42. Corberán-Vallet, Ana & Bermúdez, José D. & Vercher, Enriqueta, 2011. "Forecasting correlated time series with exponential smoothing models," International Journal of Forecasting, Elsevier, vol. 27(2), pages 252-265, April.
    43. Chun Liu & John M Maheu, 2008. "Forecasting Realized Volatility: A Bayesian Model Averaging Approach," Working Papers tecipa-313, University of Toronto, Department of Economics.
    44. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, July.
    45. Chua, Chew Lian & Suardi, Sandy & Tsiaplias, Sarantis, 2013. "Predicting short-term interest rates using Bayesian model averaging: Evidence from weekly and high frequency data," International Journal of Forecasting, Elsevier, vol. 29(3), pages 442-455.
    46. Nonejad, Nima, 2022. "Equity premium prediction using the price of crude oil: Uncovering the nonlinear predictive impact," Energy Economics, Elsevier, vol. 115(C).
    47. Nonejad, Nima, 2021. "Predicting the return on the spot price of crude oil out-of-sample by conditioning on news-based uncertainty measures: Some new empirical results," Energy Economics, Elsevier, vol. 104(C).
    48. Ca' Zorzi, Michele & Kocięcki, Andrzej & Rubaszek, Michał, 2015. "Bayesian forecasting of real exchange rates with a Dornbusch prior," Economic Modelling, Elsevier, vol. 46(C), pages 53-60.

  2. Geweke, John & Keane, Michael, 2001. "Computationally intensive methods for integration in econometrics," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 56, pages 3463-3568, Elsevier.

    Cited by:

    1. Victor Aguirregabiria & Arvind Magesan, 2013. "Euler Equations for the Estimation of Dynamic Discrete Choice Structural Models," Working Papers tecipa-489, University of Toronto, Department of Economics.
    2. Zvi Eckstein & Michael P. Keane & Osnat Lifshitz, 2016. "Sources of Change in the Life-Cycle Decisions of American Men and Women: 1962-2014," Economics Papers 2016-W07, Economics Group, Nuffield College, University of Oxford.
    3. Susan E. Feinberg & Michael P. Keane, 2009. "Tariff effects on MNC decisions to engage in intra‐firm and arm's‐length trade," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 42(3), pages 900-929, August.
    4. George Monokroussos, 2011. "Dynamic Limited Dependent Variable Modeling and U.S. Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 43(2‐3), pages 519-534, March.
    5. Tong Li & Xiaoyong Zheng, 2006. "Entry and competition effects in first-price auctions: theory and evidence from procurement auctions," CeMMAP working papers CWP13/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    6. Geert Mesters & Siem Jan Koopman, 2012. "Generalized Dynamic Panel Data Models with Random Effects for Cross-Section and Time," Tinbergen Institute Discussion Papers 12-009/4, Tinbergen Institute, revised 18 Mar 2014.
    7. Doğan, Osman & Taşpınar, Süleyman, 2014. "Spatial autoregressive models with unknown heteroskedasticity: A comparison of Bayesian and robust GMM approach," Regional Science and Urban Economics, Elsevier, vol. 45(C), pages 1-21.
    8. Michael P. Keane & Robert M. Sauer, 2010. "A Computationally Practical Simulation Estimation Algorithm for Dynamic Panel Data Models with Unobserved Endogenous State Variables," Working Papers 1008, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz, revised 05 Jul 2010.
    9. Daniel Houser & Michael Keane & Kevin McCabe, 2002. "Behavior in a dynamic decision problem: An analysis of experimental evidence using a bayesian type classification algorithm," Experimental 0211001, University Library of Munich, Germany.
    10. Aguirregabiria, Victor & Magesan, Arvind, 2013. "Euler Equations for the Estimation of Dynamic Discrete Choice Structural," MPRA Paper 46056, University Library of Munich, Germany.
    11. Hiroyuki Kasahara & Katsumi Shimotsu, 2006. "Nonparametric Identification and Estimation of Finite Mixture Models of Dynamic Discrete Choices," University of Western Ontario, Departmental Research Report Series 20065, University of Western Ontario, Department of Economics.
    12. Gregory Veramendi & John Eric Humphries & James J. Heckman, 2016. "Returns to Education: The Causal Effects of Education on Earnings, Health and Smoking," Working Papers id:10908, eSocialSciences.
    13. George Monokroussos, 2009. "A Classical MCMC Approach to the Estimation of Limited Dependent Variable Models of Time Series," Discussion Papers 09-07, University at Albany, SUNY, Department of Economics.
    14. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2014. "A Simple Method to Estimate the Roles of Learning, Inventories and Category Consideration in Consumer Choice," Economics Papers 2014-W01, Economics Group, Nuffield College, University of Oxford.
    15. Michael Keane, 2010. "Labor Supply and Taxes: A Survey," Working Paper Series 160, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    16. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    17. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2017. "Empirical Models of Learning Dynamics: A Survey of Recent Developments," International Series in Operations Research & Management Science, in: Berend Wierenga & Ralf van der Lans (ed.), Handbook of Marketing Decision Models, edition 2, chapter 0, pages 223-257, Springer.
    18. Keane, Michael P. & Wasi, Nada, 2016. "How to model consumer heterogeneity? Lessons from three case studies on SP and RP data," Research in Economics, Elsevier, vol. 70(2), pages 197-231.
    19. Horowitz, Joel L. & Nesheim, Lars, 2021. "Using penalized likelihood to select parameters in a random coefficients multinomial logit model," Journal of Econometrics, Elsevier, vol. 222(1), pages 44-55.
    20. Hielke Buddelmeyer & Kenneth Troske, 2004. "Joint estimation of sequential labor force participation and fertility decisions using Markov chain Monte Carlo techniques," Econometric Society 2004 North American Winter Meetings 334, Econometric Society.
    21. Tülin Erdem & Kannan Srinivasan & Wilfred Amaldoss & Patrick Bajari & Hai Che & Teck Ho & Wes Hutchinson & Michael Katz & Michael Keane & Robert Meyer & Peter Reiss, 2005. "Theory-Driven Choice Models," Marketing Letters, Springer, vol. 16(3), pages 225-237, December.
    22. Denzil G. Fiebig & Michael P. Keane & Jordan Louviere & Nada Wasi, 2010. "The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity," Marketing Science, INFORMS, vol. 29(3), pages 393-421, 05-06.
    23. Kim, Jae-Young, 2014. "An alternative quasi likelihood approach, Bayesian analysis and data-based inference for model specification," Journal of Econometrics, Elsevier, vol. 178(P1), pages 132-145.
    24. ENGLE-WARNICK, Jim & McCAUSLAND, William J. & MILLER, John H., 2004. "The Ghost in the Machine: Inferring Machine-Based Strategies from Observed Behavior," Cahiers de recherche 15-2004, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    25. Keane, Michael, 2003. "Comment on “Simulation and Estimation of Hedonic Models” by Heckman, Matzkin and Nesheim," MPRA Paper 55141, University Library of Munich, Germany.
    26. Victor Chernozhukov & Han Hong, 2023. "An MCMC Approach to Classical Estimation," Papers 2301.07782, arXiv.org.
    27. Robert M. Sauer, 2015. "Does It Pay For Women To Volunteer?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(2), pages 537-564, May.
    28. Michael P. Keane & Susan Thorp, 2016. "Complex Decision Making: The Roles of Cognitive Limitations, Cognitive Decline and Ageing," Economics Papers 2016-W10, Economics Group, Nuffield College, University of Oxford.
    29. Moura, Guilherme V. & Richard, Jean-François & Liesenfeld, Roman, 2007. "Dynamic Panel Probit Models for Current Account Reversals and their Efficient Estimation," Economics Working Papers 2007-11, Christian-Albrechts-University of Kiel, Department of Economics.
    30. Keane, Michael, 2010. "The Tax-Transfer System and Labour Supply," MPRA Paper 55167, University Library of Munich, Germany.
    31. Danaf, Mazen & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Logit mixture with inter and intra-consumer heterogeneity and flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 35(C).
    32. Patrick Bajari & C. Lanier Benkard & Jonathan Levin, 2007. "Estimating Dynamic Models of Imperfect Competition," Econometrica, Econometric Society, vol. 75(5), pages 1331-1370, September.
    33. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Learning Models: An Assessment of Progress, Challenges and New Developments," Economics Papers 2013-W07, Economics Group, Nuffield College, University of Oxford.
    34. David Throsby & Anita Zednik & Jorge E. Araña, 2021. "Public preferences for heritage conservation strategies: a choice modelling approach," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(3), pages 333-358, September.
    35. Keane, M.P. & Thorp, S., 2016. "Complex Decision Making," Handbook of the Economics of Population Aging, in: Piggott, John & Woodland, Alan (ed.), Handbook of the Economics of Population Aging, edition 1, volume 1, chapter 0, pages 661-709, Elsevier.
    36. Bruins, Marianne & Duffy, James A. & Keane, Michael P. & Smith, Anthony A., 2018. "Generalized indirect inference for discrete choice models," Journal of Econometrics, Elsevier, vol. 205(1), pages 177-203.
    37. Heckman, James J. & Humphries, John Eric & Veramendi, Gregory, 2016. "Dynamic treatment effects," Journal of Econometrics, Elsevier, vol. 191(2), pages 276-292.
    38. Joel L. Horowitz & Lars Nesheim, 2018. "Using penalized likelihood to select parameters in a random coefficients multinomial logit model," CeMMAP working papers CWP29/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    39. James Heckman & John Eric Humphries & Gregory Veramendi & Sergio Urzua, 2014. "Education, Health and Wages," Working Papers 2014-007, Human Capital and Economic Opportunity Working Group.
    40. Michael P. Keane, 2013. "Panel data discrete choice models of consumer demand," Economics Papers 2013-W08, Economics Group, Nuffield College, University of Oxford.
    41. Aßmann, Christian, 2008. "Assessing the Effect of Current Account and Currency Crises on Economic Growth," Economics Working Papers 2008-01, Christian-Albrechts-University of Kiel, Department of Economics.
    42. Liesenfeld, Roman & Richard, Jean-François, 2010. "Efficient estimation of probit models with correlated errors," Journal of Econometrics, Elsevier, vol. 156(2), pages 367-376, June.
    43. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2013. "Invited Paper ---Learning Models: An Assessment of Progress, Challenges, and New Developments," Marketing Science, INFORMS, vol. 32(6), pages 913-938, November.
    44. Richards, Timothy J. & Liaukonyte, Jura, 2018. "Switching Cost and Store Choice," 2018 Annual Meeting, August 5-7, Washington, D.C. 274201, Agricultural and Applied Economics Association.
    45. Michael P. Keane & Jonathan D. Ketcham & Nicolai V. Kuminoff & Timothy Neal, 2019. "Evaluating Consumers' Choices of Medicare Part D Plans: A Study in Behavioral Welfare Economics," NBER Working Papers 25652, National Bureau of Economic Research, Inc.
    46. Michael Lechner & Stefan Lollivier & Thierry Magnac, 2005. "Parametric Binary Choice Models," University of St. Gallen Department of Economics working paper series 2005 2005-23, Department of Economics, University of St. Gallen.
    47. Christian Aßmann & Marcel Preising, 2020. "Bayesian estimation and model comparison for linear dynamic panel models with missing values," Australian & New Zealand Journal of Statistics, Australian Statistical Publishing Association Inc., vol. 62(4), pages 536-557, December.
    48. Yang Li & Asim Ansari, 2014. "A Bayesian Semiparametric Approach for Endogeneity and Heterogeneity in Choice Models," Management Science, INFORMS, vol. 60(5), pages 1161-1179, May.
    49. A. Ronald Gallant & Han Hong & Ahmed Khwaja, 2018. "The Dynamic Spillovers of Entry: An Application to the Generic Drug Industry," Management Science, INFORMS, vol. 64(3), pages 1189-1211, March.
    50. Nada Wasi & Michael P. Keane, 2012. "Estimation of Discrete Choice Models with Many Alternatives Using Random Subsets of the Full Choice Set: With an Application to Demand for Frozen Pizza," Economics Papers 2012-W13, Economics Group, Nuffield College, University of Oxford.
    51. George Monokroussos, 2006. "A Dynamic Tobit Model for the Open Market Desk's Daily Reaction Function," Computing in Economics and Finance 2006 390, Society for Computational Economics.
    52. Li, Yong & Yu, Jun & Zeng, Tao, 2020. "Deviance information criterion for latent variable models and misspecified models," Journal of Econometrics, Elsevier, vol. 216(2), pages 450-493.
    53. Keane, Michael P. & Todd, Petra E. & Wolpin, Kenneth I., 2011. "The Structural Estimation of Behavioral Models: Discrete Choice Dynamic Programming Methods and Applications," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 4, chapter 4, pages 331-461, Elsevier.
    54. Roman Liesenfeld & Guilherme Valle Moura & Jean‐François Richard, 2010. "Determinants and Dynamics of Current Account Reversals: An Empirical Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 486-517, August.
    55. Michael P. Keane & Nada Wasi, 2013. "The Structure of Consumer Taste Heterogeneity in Revealed vs. Stated Preference Data," Economics Papers 2013-W10, Economics Group, Nuffield College, University of Oxford.
    56. Geweke, John, 2003. "Econometric issues in using the AHEAD panel," Journal of Econometrics, Elsevier, vol. 112(1), pages 115-120, January.
    57. Juan Pablo Atal, 2019. "Lock-in in Dynamic Health Insurance Contracts: Evidence from Chile," PIER Working Paper Archive 19-020, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
    58. Shuyang Sheng, 2020. "A Structural Econometric Analysis of Network Formation Games Through Subnetworks," Econometrica, Econometric Society, vol. 88(5), pages 1829-1858, September.
    59. Troske, Kenneth & Voicu, Alexandru, 2009. "The Effect of Children on the Level of Labor Market Involvement of Married Women: What is the Role of Education?," IZA Discussion Papers 4074, Institute of Labor Economics (IZA).
    60. Patricio Valdivieso & Benjamín Villena-Roldán, 2012. "Participation in Organizations, Trust, and Social Capital Formation: Evidence from Chile," Documentos de Trabajo 293, Centro de Economía Aplicada, Universidad de Chile.
    61. Fosgerau, Mogens & Hess, Stephane, 2008. "Competing methods for representing random taste heterogeneity in discrete choice models," MPRA Paper 10038, University Library of Munich, Germany.
    62. Tong Li & Xiaoyong Zheng, 2008. "Semiparametric Bayesian inference for dynamic Tobit panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(6), pages 699-728.
    63. Fosgerau, Mogens & Hess, Stephane, 2009. "A comparison of methods for representing random taste heterogeneity in discrete choice models," European Transport \ Trasporti Europei, ISTIEE, Institute for the Study of Transport within the European Economic Integration, issue 42, pages 1-25.
    64. Keane, Michael, 2004. "Modeling Health Insurance Choice Using the Heterogeneous Logit Model," MPRA Paper 55203, University Library of Munich, Germany.
    65. Jim Engle-Warnick & Bradley Ruffle, 2006. "The Strategies Behind Their Actions: A Method To Infer Repeated-Game Strategies And An Application To Buyer Behavior," Departmental Working Papers 2005-04, McGill University, Department of Economics.
    66. Madeleine King & Rosalie Viney & Ishrat Hossain & David Smith & Sandra Fowler & Elizabeth Savage & Bruce Armstrong, 2006. "Men?s preferences for treatment of early stage prostate cancer: Results from a discrete choice experiment, CHERE Working Paper 2006/14," Working Papers 2006/14, CHERE, University of Technology, Sydney.
    67. Orla May & Merxe Tudela, 2005. "When is mortgage indebtedness a financial burden to British households? A dynamic probit approach," Bank of England working papers 277, Bank of England.
    68. Raluca Ursu & Stephan Seiler & Elisabeth Honka, 2023. "The Sequential Search Model: A Framework for Empirical Research," CESifo Working Paper Series 10264, CESifo.
    69. Fullerton, Don & Gan, Li, 2004. "A simulation-based welfare loss calculation for labor taxes with piecewise-linear budgets," Journal of Public Economics, Elsevier, vol. 88(11), pages 2339-2359, September.
    70. Aßmann, Christian, 2007. "Determinants and Costs of Current Account Reversals under Heterogeneity and Serial Correlation," Economics Working Papers 2007-17, Christian-Albrechts-University of Kiel, Department of Economics.
    71. Michael Keane & Nada Wasi, 2013. "Comparing Alternative Models Of Heterogeneity In Consumer Choice Behavior," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(6), pages 1018-1045, September.

  3. Geweke, John, 1996. "Monte carlo simulation and numerical integration," Handbook of Computational Economics, in: H. M. Amman & D. A. Kendrick & J. Rust (ed.), Handbook of Computational Economics, edition 1, volume 1, chapter 15, pages 731-800, Elsevier.
    See citations under working paper version above.
  4. Geweke, John, 1984. "Inference and causality in economic time series models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 19, pages 1101-1144, Elsevier.

    Cited by:

    1. Letson, David & McCullough, B.D., 2001. "Enso And Soybean Prices: Correlation Without Causality," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 33(3), pages 1-9, December.
    2. Aaltonen, J. & Östermark, R., 1997. "A rolling test of granger causality between the Finnish and Japanese security markets," Omega, Elsevier, vol. 25(6), pages 635-642, December.
    3. Ivan D. Trofimov Nazaria Md. Aris Dickson C. D. Xuan, 2018. "Macroeconomic and Demographic Determinants of Residential Property Prices in Malaysia," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 21(2), pages 71-96, November.
    4. Michael E. Sobel, 1996. "An Introduction to Causal Inference," Sociological Methods & Research, , vol. 24(3), pages 353-379, February.
    5. Majid M. Al-Sadoon, 2016. "Testing Subspace Granger Causality," Working Papers 850, Barcelona School of Economics.
    6. DUFOUR, Jean-Marie & PELLETIER, Denis & RENAULT, Éric, 2003. "Short Run and Long Run Causality in Time Series : Inference," Cahiers de recherche 14-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
    7. Noel D. Uri, 1996. "The Impact of Crude Oil Price Volatility on Agricultural Employment in the United States," Energy & Environment, , vol. 7(1), pages 57-74, February.
    8. Arash Refah-Kahriz & Hassan Heidari & Mahdiyeh Rahimdel, 2023. "Is there a similar Granger causality among CO2 emissions, energy consumption and economic growth in different regimes in Iran?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3801-3822, April.
    9. Marin, Dalia, 1990. "Is the Export-Led Growth Hypothesis Valid for Industrialized Countries?," CEPR Discussion Papers 362, C.E.P.R. Discussion Papers.
    10. Lahura, Erick, 2010. "Monetary aggregates and monetary policy: an empirical assessment for Peru," Working Papers 2010-019, Banco Central de Reserva del Perú.
    11. Lawrence S. Mayer & Steven S. Carroll, 1988. "Measures of Dependence for Cross-Lagged Panel Models," Sociological Methods & Research, , vol. 17(1), pages 93-120, August.
    12. Zanforlin, Luisa & Chong, Alberto E., 2001. "Inward-Looking Policies, Institutions, Autocrats, and Economic Growth in Latin America: An Empirical Exploration," IDB Publications (Working Papers) 6097, Inter-American Development Bank.
    13. Nilsson, Kristian, 1999. "Alternative Measures of the Swedish Real Effective Exchange Rate," Working Papers 68, National Institute of Economic Research.
    14. Marta Gómez-Puig & Simón Sosvilla-Rivero, 2014. "“Causality and Contagion in EMU Sovereign Debt Markets”," IREA Working Papers 201403, University of Barcelona, Research Institute of Applied Economics, revised Feb 2014.
    15. Skalin, Joakim & Teräsvirta, Timo, 1996. "Another Look at Swedish Business Cycles, 1861-1988," SSE/EFI Working Paper Series in Economics and Finance 130, Stockholm School of Economics.
    16. Nils Herger, 2017. "An empirical assessment of the Swedish Bullionist Controversy," Working Papers 17.01, Swiss National Bank, Study Center Gerzensee.
    17. Satya Paul & Colm Kearney & Kabir Chowdhury, 1997. "Inflation and economic growth: a multi-country empirical analysis," Applied Economics, Taylor & Francis Journals, vol. 29(10), pages 1387-1401.
    18. Al-Sadoon, Majid M., 2014. "Geometric and long run aspects of Granger causality," Journal of Econometrics, Elsevier, vol. 178(P3), pages 558-568.
    19. Magdalena Osinska, 2011. "On the Interpretation of Causality in Granger’s Sense," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 11, pages 129-140.
    20. Akinyemi, Opeyemi & Ogundipe, Adeyemi & Alege, Philip, 2012. "Energy Supply and Climate Change in Nigeria," MPRA Paper 55820, University Library of Munich, Germany.
    21. Steel, M.F.J. & Richard, J., 1989. "Bayesian multivariate exogeneity analysis : An application to a UK money demand equation," Other publications TiSEM 2978b800-0592-4480-a5db-3, Tilburg University, School of Economics and Management.
    22. Eleanor Doyle, 1998. "Export-output causality: The Irish case 1953–93," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 26(2), pages 147-161, June.
    23. Andriansyah, Andriansyah, 2003. "Model Vector Autoregressive (VAR) Hubungan Dinamis Antara Harga Saham dan Nilai Tukar Rupiah: Penerapan pada IHSG dan Indeks Sektoral di Bursa Efek Jakarta Tahun 1990-2001 [Vector Autoregressive (V," MPRA Paper 111641, University Library of Munich, Germany.
    24. Maria Blangiewicz & Krystyna Strzala, 2008. "Notes on a Forecasting Procedure," Dynamic Econometric Models, Uniwersytet Mikolaja Kopernika, vol. 8, pages 75-84.
    25. Trofimov, Ivan D. & Md. Aris, Nazaria & C. D. Xuan, Dickson, 2018. "Macroeconomic and demographic determinants of residential property prices in Malaysia," MPRA Paper 85819, University Library of Munich, Germany.
    26. Uri, Noel D., 1996. "Crude oil price volatility and unemployment in the United States," Energy, Elsevier, vol. 21(1), pages 29-38.
    27. Gunther Capelle-Blancard & Hélène Raymond-Feingold & Michel Beine, 2008. "International nonlinear causality between stock markets," Post-Print halshs-00305387, HAL.
    28. Bahram Adrangi & Arjun Chatrath & Joseph Macri & Kambiz Raffiee, 2017. "Crude Oil Price Volatility Spillovers and Agricultural Commodities: A Study in Time and Frequency Domains," Review of Economics & Finance, Better Advances Press, Canada, vol. 9, pages 42-56, August.
    29. Capelle-Blancard, G. & Vandelanoite, S., 2000. "Relations intrajournalieres entre l'indice CAC 40 et les options sur indice. Quel est le marche prefere des investisseurs informes ?," Papiers d'Economie Mathématique et Applications 2000.110, Université Panthéon-Sorbonne (Paris 1).
    30. Aka, F.B. & Decaluwé, B., 1999. "Causality and Comovement between Tax Rate and Budget Deficits: Further Evidence from Developing Countries," Cahiers de recherche 9911, Université Laval - Département d'économique.
    31. Nils Herger, 2020. "An Empirical Assessment of the Swedish Bullionist Controversy," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(3), pages 911-936, July.
    32. Peter Adams & Michael D. Hurd & Daniel L. McFadden & Angela Merrill & Tiago Ribeiro, 2004. "Healthy, Wealthy, and Wise? Tests for Direct Causal Paths between Health and Socioeconomic Status," NBER Chapters, in: Perspectives on the Economics of Aging, pages 415-526, National Bureau of Economic Research, Inc.
    33. Zhou, Wei-Xing & Sornette, Didier, 2004. "Causal slaving of the US treasury bond yield antibubble by the stock market antibubble of August 2000," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 337(3), pages 586-608.
    34. Calvo-Pardo, Hector & Mancini, Tullio & Olmo, Jose, 2021. "Granger causality detection in high-dimensional systems using feedforward neural networks," International Journal of Forecasting, Elsevier, vol. 37(2), pages 920-940.
    35. Osiewalski, J. & Steel, M.F.J., 1989. "A Bayesian Analysis Of Exogeneity In Models Pooling Time- Series And Cross -Section Data," Papers 8914, Tilburg - Center for Economic Research.
    36. Hai-Chuan Xu & Wei-Xing Zhou & Didier Sornette, 2018. "Time-dependent lead-lag relationship between the onshore and offshore Renminbi exchange rates," Papers 1803.09432, arXiv.org.
    37. David Havrlant & Roman Hušek, 2011. "Models of Factors Driving the Czech Export," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(3), pages 195-215.
    38. Antonios Adamopoulos, 2010. "Financial development and economic growth. An empirical analysis for Ireland," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 3(1), pages 75-88, July.
    39. Shao, Ying-Hui & Yang, Yan-Hong & Shao, Hao-Lin & Stanley, H. Eugene, 2019. "Time-varying lead–lag structure between the crude oil spot and futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 723-733.
    40. Zanin, Massimiliano & Belkoura, Seddik, 2018. "On the applicability of the Lead/Lag Ratio in causality assessment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 186-196.
    41. Danilo Santini & David Poyer, 2008. "Motor Vehicle Output and GDP, 1968–2007," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 36(4), pages 483-491, December.
    42. Brorsen, B. Wade & Chavas, Jean-Paul & Grant, Warren R., 1991. "Market Structure And Spatial Price Dynamics," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 23(2), pages 1-9, December.
    43. Cheung, Yin-Wong & Ng, Lilian K., 1996. "A causality-in-variance test and its application to financial market prices," Journal of Econometrics, Elsevier, vol. 72(1-2), pages 33-48.
    44. Zhou, Wei-Xing & Sornette, Didier, 2006. "Non-parametric determination of real-time lag structure between two time series: The "optimal thermal causal path" method with applications to economic data," Journal of Macroeconomics, Elsevier, vol. 28(1), pages 195-224, March.
    45. Didier Sornette & Wei-Xing Zhou, 2005. "Non-parametric determination of real-time lag structure between two time series: the 'optimal thermal causal path' method," Quantitative Finance, Taylor & Francis Journals, vol. 5(6), pages 577-591.
    46. Mosconi, Rocco & Seri, Raffaello, 2006. "Non-causality in bivariate binary time series," Journal of Econometrics, Elsevier, vol. 132(2), pages 379-407, June.
    47. Dufour, Jean-Marie & Taamouti, Abderrahim, 2010. "Short and long run causality measures: Theory and inference," Journal of Econometrics, Elsevier, vol. 154(1), pages 42-58, January.
    48. Stock, James H. & Watson, Mark W., 1989. "Interpreting the evidence on money-income causality," Journal of Econometrics, Elsevier, vol. 40(1), pages 161-181, January.
    49. C. R. McKenzie & Michael McAleer, 2001. "Comparing Tests of Autoregressive Versus Moving Average Errors in Regression Models Using Bahadur's Asymptotic Relative Efficiency," ISER Discussion Paper 0537, Institute of Social and Economic Research, Osaka University.
    50. Rey, Serge, 2001. "Les taux de change bilatéraux adoptés pour l’entrée dans l’euro sont-ils des taux d’équilibre?," L'Actualité Economique, Société Canadienne de Science Economique, vol. 77(1), pages 75-112, mars.
    51. Uri, Noel D., 1999. "Energy and the use of conservation tillage in US agriculture," Energy Policy, Elsevier, vol. 27(5), pages 299-306, May.
    52. Antonios Adamopoulos, 2020. "Financial Development and Economic Growth: An Empirical Investigation of three European Union Member - Countries," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 10(1), pages 3-24.
    53. SUCARRAT, Genaro, 2006. "The first stage in Hendry’s reduction theory revisited," LIDAM Discussion Papers CORE 2006082, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    54. Bahram Adrangi & Arjun Chatrath & Joseph Macri & Kambiz Raffiee, 2019. "Dynamic Responses of Major Equity Markets to the US Fear Index," JRFM, MDPI, vol. 12(4), pages 1-23, September.
    55. Bai, Zhidong & Wong, Wing-Keung & Zhang, Bingzhi, 2010. "Multivariate linear and nonlinear causality tests," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(1), pages 5-17.
    56. Brillinger, David R., 1996. "Remarks Concerning Graphical Models for Time Series and Point Processes," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 16(1), November.
    57. Uri, Noel D., 1996. "Changing crude oil price effects on US agricultural employment," Energy Economics, Elsevier, vol. 18(3), pages 185-202, July.
    58. Serge Rey, 2001. "Les taux de change bilatéraux adoptés pour l’entrée dans l’Euro sont-ils des taux d’équilibre? Une tentative de réponse à l’aide de la parité des pouvoirs d’achat et de la parité des coûts," Post-Print hal-01885323, HAL.
    59. Uri, Noel D., 1998. "Impact of the price of energy on the use of conservation tillage in agriculture in the USA," Applied Energy, Elsevier, vol. 60(4), pages 225-240, August.
    60. Xie, Wen-Jie & Yong, Yang & Wei, Na & Yue, Peng & Zhou, Wei-Xing, 2021. "Identifying states of global financial market based on information flow network motifs," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    61. Huisman, K.J.M. & Kort, P.M. & Plasmans, J.E.J., 2007. "Investment in High-Tech Industries : An Example from the LCD Industry," Other publications TiSEM c5178ef4-6308-4d80-9f69-d, Tilburg University, School of Economics and Management.
    62. Hu, Qing & Quan, Jing “Jim”, 2005. "Evaluating the impact of IT investments on productivity: a causal analysis at industry level," International Journal of Information Management, Elsevier, vol. 25(1), pages 39-53.
    63. Uri, Noel D., 1996. "Crude-oil price volatility and agricultural employment in the USA," Applied Energy, Elsevier, vol. 54(4), pages 355-373, August.
    64. Bahram Adrangi & Arjun Chatrath, 2022. "Dynamic Responses of Major Pacific Rim Emerging Equity Markets to the US Crude Oil Fear Index (OVX)," Bulletin of Applied Economics, Risk Market Journals, vol. 9(1), pages 51-84.
    65. Gunther Capelle-Blancard & Séverine Vandelanoite, 2000. "Intraday relations between CAC 40 cash index and CAC 40 index options [Relations intrajournalières entre l'indice CAC 40 et les options sur indice. Quel est le marché préféré des investisseurs info," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-03727911, HAL.
    66. Jamal Bouoiyour & Refk Selmi & Aviral Kumar Tiwari, 2015. "Is Bitcoin Business Income or Speculative Bubble? Unconditional vs. Conditional Frequency Domain Analysis," Post-Print hal-01879684, HAL.
    67. James H. Stock & Mark W. Watson, 1998. "Business Cycle Fluctuations in U.S. Macroeconomic Time Series," NBER Working Papers 6528, National Bureau of Economic Research, Inc.
    68. Bonaccolto, Giovanni & Caporin, Massimiliano & Panzica, Roberto, 2019. "Estimation and model-based combination of causality networks among large US banks and insurance companies," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 1-21.
    69. Yener Coskun & Christos Bouras & Rangan Gupta & Mark E. Wohar, 2021. "Multi-Horizon Financial and Housing Wealth Effects across the U.S. States," Sustainability, MDPI, vol. 13(3), pages 1-20, January.
    70. Manfred Deistler & Klaus Neusser, 2004. "Prognose uni- und multivariater Zeitreihen," Diskussionsschriften dp0401, Universitaet Bern, Departement Volkswirtschaft.
    71. Noel D. Uri, 1998. "The Impact of Energy on the Adoption of Conservation Tillage in the United States," Energy & Environment, , vol. 9(5), pages 549-568, August.
    72. Banerjee, Aniruddha, 2003. "Does incentive regulation 'cause' degradation of retail telephone service quality?," Information Economics and Policy, Elsevier, vol. 15(2), pages 243-269, June.
    73. Han Lin Shang & Kaiying Ji & Ufuk Beyaztas, 2021. "Granger causality of bivariate stationary curve time series," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(4), pages 626-635, July.
    74. Adolfo Sachsida & Mário Jorge Cardoso de Mendonça, 2006. "Domestic Saving and Investment Revised: Can the Feldstein-Horioka Equation be Used for Policy Analysis?," Discussion Papers 1158, Instituto de Pesquisa Econômica Aplicada - IPEA.
    75. McCullough, B. D., 1997. "An analysis of stock market transactions data," The Quarterly Review of Economics and Finance, Elsevier, vol. 37(4), pages 887-903.
    76. David I. Stern, 2011. "From Correlation to Granger Causality," Crawford School Research Papers 1113, Crawford School of Public Policy, The Australian National University.

  5. Warren Dent & John Geweke, 1980. "On Specification in Simultaneous Equation Models," NBER Chapters, in: Evaluation of Econometric Models, pages 169-196, National Bureau of Economic Research, Inc.

    Cited by:

    1. Waggoner, Daniel F. & Zha, Tao, 2003. "Likelihood preserving normalization in multiple equation models," Journal of Econometrics, Elsevier, vol. 114(2), pages 329-347, June.

  6. John Geweke, 1978. "The Temporal and Sectoral Aggregation of Seasonally Adjusted Time Series," NBER Chapters, in: Seasonal Analysis of Economic Time Series, pages 411-432, National Bureau of Economic Research, Inc.

    Cited by:

    1. Mazzi Gian Luigi & Mitchell James & Carausu Florabela, 2021. "Measuring and Communicating the Uncertainty in Official Economic Statistics," Journal of Official Statistics, Sciendo, vol. 37(2), pages 289-316, June.
    2. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1983. "Forecasting and Conditional Projection Using Realistic Prior Distributions," NBER Working Papers 1202, National Bureau of Economic Research, Inc.
    3. Martelotte Marcela Cohen & Souza Reinaldo Castro & Silva Eduardo Antônio Barros da, 2017. "Design of Seasonal Adjustment Filter Robust to Variations in the Seasonal Behaviour of Time Series," Journal of Official Statistics, Sciendo, vol. 33(1), pages 155-186, March.
    4. Gregor Bäurle & Elizabeth Steiner & Gabriel Züllig, 2021. "Forecasting the production side of GDP," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(3), pages 458-480, April.
    5. Maravall, Agustin, 2006. "An application of the TRAMO-SEATS automatic procedure; direct versus indirect adjustment," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2167-2190, May.
    6. Rishab Guha & Serena Ng, 2019. "A Machine Learning Analysis of Seasonal and Cyclical Sales in Weekly Scanner Data," NBER Chapters, in: Big Data for Twenty-First-Century Economic Statistics, pages 403-436, National Bureau of Economic Research, Inc.

Books

  1. Geweke, John & Koop, Gary & van Dijk, Herman (ed.), 2013. "The Oxford Handbook of Bayesian Econometrics," OUP Catalogue, Oxford University Press, number 9780199681334.

    Cited by:

    1. Olga Korotkikh, 2020. "A Multi-Country BVAR Model for the External Sector," Russian Journal of Money and Finance, Bank of Russia, vol. 79(4), pages 98-112, December.
    2. Barbara Rossi, 2019. "Forecasting in the presence of instabilities: How do we know whether models predict well and how to improve them," Economics Working Papers 1711, Department of Economics and Business, Universitat Pompeu Fabra, revised Jul 2021.

  2. Geweke, John & Koop, Gary & van Dijk, Herman (ed.), 2011. "The Oxford Handbook of Bayesian Econometrics," OUP Catalogue, Oxford University Press, number 9780199559084.

    Cited by:

    1. Hautsch, Nikolaus & Voigt, Stefan, 2017. "Large-scale portfolio allocation under transaction costs and model uncertainty," CFS Working Paper Series 582, Center for Financial Studies (CFS).
    2. Robert Kollmann, 2014. "Tractable Latent State Filtering for Non-Linear DSGE Models Using a Second-Order Approximation and Pruning," ULB Institutional Repository 2013/250061, ULB -- Universite Libre de Bruxelles.
    3. Dario Caldara & Cristina Fuentes-Albero & Simon Gilchrist & Egon Zakrajšek, 2016. "The Macroeconomic Impact of Financial and Uncertainty Shocks," International Finance Discussion Papers 1166, Board of Governors of the Federal Reserve System (U.S.).
    4. Leonardo Nogueira Ferreira & Silvia Miranda-Agrippino & Giovanni Ricco, 2023. "Bayesian Local Projections," Working Papers Series 581, Central Bank of Brazil, Research Department.
    5. Luc Bauwens & Dimitris Korobilis, 2013. "Bayesian methods," Chapters, in: Nigar Hashimzade & Michael A. Thornton (ed.), Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 16, pages 363-380, Edward Elgar Publishing.
    6. Chang, Tsung-Sheng & Tone, Kaoru & Wu, Chen-Hui, 2021. "Nested dynamic network data envelopment analysis models with infinitely many decision making units for portfolio evaluation," European Journal of Operational Research, Elsevier, vol. 291(2), pages 766-781.
    7. László Békési & Lorant Kaszab & Szabolcs Szentmihályi, 2017. "The EAGLE model for Hungary - a global perspective," MNB Working Papers 2017/7, Magyar Nemzeti Bank (Central Bank of Hungary).
    8. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    9. Yong Li & Jun Yu, 2011. "Bayesian Hypothesis Testing in Latent Variable Models," Working Papers 11-2011, Singapore Management University, School of Economics.
    10. Paccagnini, Alessia, 2017. "Dealing with Misspecification in DSGE Models: A Survey," MPRA Paper 82914, University Library of Munich, Germany.
    11. Heather Anderson & Giovanni Caggiano & Farshid Vahid & Benjamin Wong, 2020. "Sectoral employment dynamics in Australia," CAMA Working Papers 2020-51, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    12. Mario di Serio & Matteo Fragetta & Mr. Giovanni Melina, 2021. "The Impact of r-g on the Euro-Area Government Spending Multiplier," IMF Working Papers 2021/039, International Monetary Fund.
    13. S. Boragan Aruoba & Luigi Bocola & Frank Schorfheide, 2013. "Assessing DSGE model nonlinearities," Working Papers 13-47, Federal Reserve Bank of Philadelphia.
    14. Miranda-Agrippino, Silvia & Ricco, Giovanni, 2018. "Bayesian vector autoregressions," LSE Research Online Documents on Economics 87393, London School of Economics and Political Science, LSE Library.
    15. Frank Schorfheide & Dongho Song, 2015. "Real-Time Forecasting With a Mixed-Frequency VAR," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(3), pages 366-380, July.
    16. Balcilar, Mehmet & Gupta, Rangan & Kotzé, Kevin, 2015. "Forecasting macroeconomic data for an emerging market with a nonlinear DSGE model," Economic Modelling, Elsevier, vol. 44(C), pages 215-228.
    17. Stephen McKnight & Alexander Mihailov & Antonio Pompa Rangel, 2016. "What Do Latin American Inflation Targeters Care About? A Comparative Bayesian Estimation of Central Bank Preferences," Economics Discussion Papers em-dp2016-12, Department of Economics, University of Reading.
    18. Tomasz Wozniak, 2016. "Rare Events and Risk Perception: Evidence from Fukushima Accident," Department of Economics - Working Papers Series 2021, The University of Melbourne.
    19. Stoye, Jörg, 2012. "Minimax regret treatment choice with covariates or with limited validity of experiments," Journal of Econometrics, Elsevier, vol. 166(1), pages 138-156.
    20. Li, Youwei & Waterworth, James, 2016. "Eurozone network connectedness during calm and crisis: evidence from the MTS platform for interdealer trading of European sovereign debt," MPRA Paper 71221, University Library of Munich, Germany.
    21. Massimiliano Serati & Fausto Pacicco, 2018. "A proposal for a micro-territorial well-being index: the WIT," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 72(3), pages 77-99, July-Sept.
    22. Giacomini, Raffaella & Kitagawa, Toru & Read, Matthew, 2020. "Robust Bayesian Inference in Proxy SVARs," CEPR Discussion Papers 14626, C.E.P.R. Discussion Papers.
    23. Berg, Tim Oliver, 2015. "Multivariate Forecasting with BVARs and DSGE Models," MPRA Paper 62405, University Library of Munich, Germany.
    24. Mawuli Segnon & Rangan Gupta & Stelios Bekiros & Mark E. Wohar, 2018. "Forecasting US GNP growth: The role of uncertainty," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(5), pages 541-559, August.
    25. Koop, Gary, 2014. "Forecasting with dimension switching VARs," International Journal of Forecasting, Elsevier, vol. 30(2), pages 280-290.
    26. Leung, Melvern & Fung, Man Chung & O’Hare, Colin, 2018. "A comparative study of pricing approaches for longevity instruments," Insurance: Mathematics and Economics, Elsevier, vol. 82(C), pages 95-116.
    27. Cosmas Dery & Apostolos Serletis, 2021. "Disentangling the Effects of Uncertainty, Monetary Policy and Leverage Shocks on the Economy," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(5), pages 1029-1065, October.
    28. Liu, Xiaobin & Li, Yong & Yu, Jun & Zeng, Tao, 2022. "Posterior-based Wald-type statistics for hypothesis testing," Journal of Econometrics, Elsevier, vol. 230(1), pages 83-113.
    29. Gu, Xin & Zhu, Zixiang & Yu, Minli, 2021. "The macro effects of GPR and EPU indexes over the global oil market—Are the two types of uncertainty shock alike?," Energy Economics, Elsevier, vol. 100(C).
    30. Fernández-Villaverde, J. & Rubio-Ramírez, J.F. & Schorfheide, F., 2016. "Solution and Estimation Methods for DSGE Models," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 527-724, Elsevier.
    31. Heckelei, Thomas & Huettel, Silke & Odening, Martin & Rommel, Jens, 2021. "The replicability crisis and the p-value debate – what are the consequences for the agricultural and food economics community?," Discussion Papers 316369, University of Bonn, Institute for Food and Resource Economics.
    32. I-Chun Tsai & Che-Chun Lin, 2019. "Variations and Influences of Connectedness among US Housing Markets," International Real Estate Review, Global Social Science Institute, vol. 22(1), pages 27-58.
    33. Steel, Mark F. J., 2017. "Model Averaging and its Use in Economics," MPRA Paper 90110, University Library of Munich, Germany, revised 16 Nov 2018.
    34. Güneş Kamber & Chris McDonald & Gael Price, 2013. "Drying out: Investigating the economic effects of drought in New Zealand," Reserve Bank of New Zealand Analytical Notes series AN2013/02, Reserve Bank of New Zealand.
    35. Rodney W. Strachan & Herman K. Van Dijk, 2013. "Evidence On Features Of A Dsge Business Cycle Model From Bayesian Model Averaging," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54(1), pages 385-402, February.
    36. Adalgiso Amendola & Mario di Serio & Matteo Fragetta & Mr. Giovanni Melina, 2019. "The Euro-Area Government Spending Multiplier at the Effective Lower Bound," IMF Working Papers 2019/133, International Monetary Fund.
    37. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    38. Yong Li & Xiaobin Liu & Jun Yu & Tao Zeng, 2018. "A New Wald Test for Hypothesis Testing Based on MCMC outputs," Papers 1801.00973, arXiv.org.
    39. Edward P. Herbst & Frank Schorfheide, 2011. "Evaluating DSGE model forecasts of comovements," Working Papers 11-5, Federal Reserve Bank of Philadelphia.
    40. Canova, Fabio & Ciccarelli, Matteo, 2012. "ClubMed? Cyclical fluctuations in the Mediterranean basin," Journal of International Economics, Elsevier, vol. 88(1), pages 162-175.
    41. Yong Li & Tao Zeng & Jun Yu, 2012. "Robust Deviance Information Criterion for Latent Variable Models," Working Papers 30-2012, Singapore Management University, School of Economics.
    42. Gan-Ochir Doojav & Kaliappa Kalirajan, 2020. "Financial Frictions and Shocks in an Estimated Small Open Economy DSGE Model," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(2), pages 253-291, June.
    43. Waggoner, Daniel F. & Zha, Tao, 2012. "Confronting model misspecification in macroeconomics," Journal of Econometrics, Elsevier, vol. 171(2), pages 167-184.
    44. Gael M. Martin & David T. Frazier & Christian P. Robert, 2022. "Computing Bayes: From Then `Til Now," Monash Econometrics and Business Statistics Working Papers 14/22, Monash University, Department of Econometrics and Business Statistics.
    45. Vasco Curdia & Andrea Ferrero & Ging Cee Ng & Andrea Tambalotti, 2014. "Has U.S. Monetary Policy Tracked the Efficient Interest Rate?," Working Paper Series 2014-12, Federal Reserve Bank of San Francisco.
    46. Tomasz Woźniak, 2016. "Bayesian Vector Autoregressions," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 49(3), pages 365-380, September.
    47. Di Serio, Mario & Fragetta, Matteo & Gasteiger, Emanuel, 2020. "The government spending multiplier at the zero lower bound: Evidence from the United States," ECON WPS - Working Papers in Economic Theory and Policy 04/2020, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    48. Ankargren Sebastian & Unosson Måns & Yang Yukai, 2020. "A Flexible Mixed-Frequency Vector Autoregression with a Steady-State Prior," Journal of Time Series Econometrics, De Gruyter, vol. 12(2), pages 1-41, July.
    49. Glen Livingston Jr & Darfiana Nur, 2020. "Bayesian estimation and model selection of a multivariate smooth transition autoregressive model," Environmetrics, John Wiley & Sons, Ltd., vol. 31(6), September.
    50. Cosmas Dery & Apostolos Serletis, 2021. "The Relative Importance of Monetary Policy, Uncertainty, and Financial Shocks," Open Economies Review, Springer, vol. 32(2), pages 311-333, April.
    51. James Morley & Benjamin Wong, 2017. "Estimating and accounting for the output gap with large Bayesian vector autoregressions," CAMA Working Papers 2017-46, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    52. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2014. "On the Rise of Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 14-085/III, Tinbergen Institute, revised 04 Sep 2014.
    53. Canova, Fabio & Ferroni, Filippo, 2020. "A hitchhiker guide to empirical macro models," CEPR Discussion Papers 15446, C.E.P.R. Discussion Papers.
    54. Dario Caldara & Michele Cavallo & Matteo Iacoviello, 2016. "Oil Price Elasticities and Oil Price Fluctuations," International Finance Discussion Papers 1173, Board of Governors of the Federal Reserve System (U.S.).
    55. Diebold, Francis X. & Schorfheide, Frank & Shin, Minchul, 2017. "Real-time forecast evaluation of DSGE models with stochastic volatility," CFS Working Paper Series 577, Center for Financial Studies (CFS).
    56. Matthew Read, 2021. "Algorithms for Inference in SVARs Identified with Sign and Zero Restrictions," Papers 2109.10676, arXiv.org, revised Jan 2022.
    57. Didit Nugroho & Takayuki Morimoto, 2015. "Estimation of realized stochastic volatility models using Hamiltonian Monte Carlo-Based methods," Computational Statistics, Springer, vol. 30(2), pages 491-516, June.
    58. Lopresti, John, 2016. "Multiproduct firms and product scope adjustment in trade," Journal of International Economics, Elsevier, vol. 100(C), pages 160-173.
    59. Roth, Markus, 2020. "Partial pooling with cross-country priors: An application to house price shocks," Discussion Papers 06/2020, Deutsche Bundesbank.
    60. Mihaela Simionescu (Bratu), 2014. "The Bayesian Modelling Of Inflation Rate In Romania," Romanian Statistical Review, Romanian Statistical Review, vol. 62(2), pages 147-160, June.
    61. Karun Adusumilli & Friedrich Geiecke & Claudio Schilter, 2019. "Dynamically Optimal Treatment Allocation using Reinforcement Learning," Papers 1904.01047, arXiv.org, revised May 2022.
    62. Krzysztof Drachal, 2022. "Forecasting the Crude Oil Spot Price with Bayesian Symbolic Regression," Energies, MDPI, vol. 16(1), pages 1-29, December.
    63. Yasutomo Murasawa, 2014. "Measuring the natural rates, gaps, and deviation cycles," Empirical Economics, Springer, vol. 47(2), pages 495-522, September.
    64. Mark Bognanni, 2018. "A Class of Time-Varying Parameter Structural VARs for Inference under Exact or Set Identification," Working Papers (Old Series) 1811, Federal Reserve Bank of Cleveland.
    65. Nalan Basturk & Cem Cakmakli & S. Pinar Ceyhan & Herman K. van Dijk, 2013. "Historical Developments in Bayesian Econometrics after Cowles Foundation Monographs 10, 14," Tinbergen Institute Discussion Papers 13-191/III, Tinbergen Institute.
    66. Keisuke Hirano & Jack R. Porter, 2016. "Panel Asymptotics and Statistical Decision Theory," The Japanese Economic Review, Japanese Economic Association, vol. 67(1), pages 33-49, March.
    67. AMENDOLA, Adalgiso & DI SERIO, Mario & FRAGETTA, Matteo, 2018. "The Government Spending Multiplier at the Zero Lower Bound: Evidence from the Euro Area," CELPE Discussion Papers 153, CELPE - CEnter for Labor and Political Economics, University of Salerno, Italy.
    68. Lieb, Lenard & Smeekes, Stephan, 2017. "Inference for Impulse Responses under Model Uncertainty," Research Memorandum 022, Maastricht University, Graduate School of Business and Economics (GSBE).
    69. Jim Griffin & Maria Kalli & Mark Steel, 2018. "Discussion of “Nonparametric Bayesian Inference in Applications”: Bayesian nonparametric methods in econometrics," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 27(2), pages 207-218, June.
    70. Sebastian Ankargren & Måns Unosson & Yukai Yang, 2018. "A mixed-frequency Bayesian vector autoregression with a steady-state prior," CREATES Research Papers 2018-32, Department of Economics and Business Economics, Aarhus University.
    71. Hanck, Christoph & Prüser, Jan, 2016. "House prices and interest rates: Bayesian evidence from Germany," Ruhr Economic Papers 620, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    72. Prüser Jan & Hanck Christoph, 2021. "A Comparison of Approaches to Select the Informativeness of Priors in BVARs," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 241(4), pages 501-525, August.
    73. Li, Yong & Zeng, Tao & Yu, Jun, 2014. "A new approach to Bayesian hypothesis testing," Journal of Econometrics, Elsevier, vol. 178(P3), pages 602-612.
    74. Hamill, Philip A. & Li, Youwei & Pantelous, Athanasios A. & Vigne, Samuel A. & Waterworth, James, 2021. "Was a deterioration in ‘connectedness’ a leading indicator of the European sovereign debt crisis?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    75. Li, Yong & Yu, Jun & Zeng, Tao, 2018. "Integrated Deviance Information Criterion for Latent Variable Models," Economics and Statistics Working Papers 6-2018, Singapore Management University, School of Economics.
    76. Gregor Bäurle & Daniel Kaufmann, 2018. "Measuring Exchange Rate, Price, and Output Dynamics at the Effective Lower Bound," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 80(6), pages 1243-1266, December.

  3. Barnett,William A. & Geweke,John & Shell,Karl (ed.), 2005. "Economic Complexity: Chaos, Sunspots, Bubbles, and Nonlinearity," Cambridge Books, Cambridge University Press, number 9780521023122.

    Cited by:

    1. He, Yijun & Barnett, William A., 2006. "Existence of bifurcation in macroeconomic dynamics: Grandmont was right," MPRA Paper 756, University Library of Munich, Germany.
    2. Barnett, William A. & He, Susan, 2009. "Existence of Singularity Bifurcation in an Euler-Equations Model of the United States Economy: Grandmont was Right," MPRA Paper 12803, University Library of Munich, Germany.

  4. Barnett,William A. & Geweke,John & Shell,Karl (ed.), 1989. "Economic Complexity: Chaos, Sunspots, Bubbles, and Nonlinearity," Cambridge Books, Cambridge University Press, number 9780521355636.

    Cited by:

    1. Cellarier, Laurent L., 2008. "Least squares learning and business cycles," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 553-564, December.
    2. William Barnett & Mehmet Dalkir, 2005. "Gains from Synchronization," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 200511, University of Kansas, Department of Economics, revised Apr 2005.
    3. William Barnett & Apostolos Serletis & Demitre Serletis, 2012. "Nonlinear and Complex Dynamics in Economics," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201238, University of Kansas, Department of Economics, revised Sep 2012.
    4. Ariane Szafarz, 2015. "Market Efficiency and Crises: Don’t Throw the Baby out with the Bathwater," ULB Institutional Repository 2013/239874, ULB -- Universite Libre de Bruxelles.
    5. Julio Davila, 2001. "Multiplicity, Instability and Sunspots in Games," Penn CARESS Working Papers 98ea9c46b8bd85cddd877d3db, Penn Economics Department.
    6. Dávila Julio, 2016. "The Rationality of Expectations Formation," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 16(2), pages 515-543, June.
    7. Kian-Ping Lim & M. Azali & M.S. Habibullah & Venus Khim-Sen Liew, 2003. "Are Non-Linear Dynamics a Universal Occurrence? Further Evidence From Asian Stock Markets," Finance 0308001, University Library of Munich, Germany.
    8. William Barnett & Giovanni Bella & Taniya Ghosh & Paolo Mattana & Beatrice Venturi, 2020. "Shilnikov Chaos, Low Interest Rates, and New Keynesian Macroeconomics," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202001, University of Kansas, Department of Economics, revised Jan 2020.
    9. William A. Barnett & A. Ronald Gallant & Melvin J. Hinich & Jochen A. Jungeilges & Daniel T. Kaplan, 2004. "A Single-Blind Controlled Competition Among Tests for Nonlinearity and Chaos," Contributions to Economic Analysis, in: Functional Structure and Approximation in Econometrics, pages 581-615, Emerald Group Publishing Limited.
    10. De Palma, Francesco & Seegmuller, Thomas, 2004. "Unions, wage differential and indeterminacy," Research in Economics, Elsevier, vol. 58(3), pages 205-218, September.
    11. Schultze, Uta, 2000. "Insights from Physics into Development Processes: Are Fat Tails Interesting for Development Research?," Discussion Papers 280882, University of Bonn, Center for Development Research (ZEF).
    12. Stefano Eusepi, 2005. "Comparing forecast-based and backward-looking Taylor rules: a "global" analysis," Staff Reports 198, Federal Reserve Bank of New York.
    13. Evans George W & Honkapohja Seppo M.S. & Marimon Ramon, 2007. "Stable Sunspot Equilibria in a Cash-in-Advance Economy," The B.E. Journal of Macroeconomics, De Gruyter, vol. 7(1), pages 1-38, January.
    14. Day, Richard H. & Pianigiani, Giulio, 1991. "Statistical Dynamics and Economics," Working Paper Series 293, Research Institute of Industrial Economics.
    15. YiLi Chien & In-Koo Cho & B. Ravikumar, 2021. "Stability and Equilibrium Selection in Learning Models: A Note of Caution," Review, Federal Reserve Bank of St. Louis, vol. 103(4), pages 477-488, October.
    16. Nivedita Mukherji, 2022. "Complex dynamics in the market for loans," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 45(1), pages 83-99, June.
    17. J. Barkley Rosser, 1999. "On the Complexities of Complex Economic Dynamics," Journal of Economic Perspectives, American Economic Association, vol. 13(4), pages 169-192, Fall.
    18. James B. Bullard & John Duffy, 1994. "Using genetic algorithms to model the evolution of heterogeneous beliefs," Working Papers 1994-028, Federal Reserve Bank of St. Louis.
    19. Phillip Wild & John Foster, 2012. "On testing for non-linear and time irreversible probabilistic structure in high frequency ASX financial time series data," Discussion Papers Series 466, School of Economics, University of Queensland, Australia.
    20. Andrés Carvajal, 2018. "Arbitrage pricing in non-Walrasian financial markets," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 66(4), pages 951-978, December.
    21. Claude Diebolt & Mohamed Chikhi, 2021. "Testing The Weak Form Efficiency Of The French Etf Market With Lstar-Anlstgarch Approach Using A Semiparametric Estimation," Working Papers 09-21, Association Française de Cliométrie (AFC).
    22. Chris Brooks & Melvin. J. Hinich & Douglas M. Patterson, 2003. "Intra-day Patterns in the Returns, Bidask Spereads, and Trading Volume of Stocks Traded on the New York Stock Exchange," ICMA Centre Discussion Papers in Finance icma-dp2003-14, Henley Business School, University of Reading.
    23. Schonhofer, Martin, 1999. "Chaotic Learning Equilibria," Journal of Economic Theory, Elsevier, vol. 89(1), pages 1-20, November.
    24. William Barnett & Morgan Rose, 2012. "Joseph Schumpeter and Modern Nonlinear Dynamics," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201230, University of Kansas, Department of Economics, revised Sep 2012.
    25. Skalin, Joakim & Teräsvirta, Timo, 1998. "Modelling asymmetries and moving equilibria in unemployment rates," SSE/EFI Working Paper Series in Economics and Finance 262, Stockholm School of Economics, revised Jul 1999.
    26. Venditti, A., 1996. "Indeterminancy and Endogenous Fluctuations in Two-Sector Growth Models with Externalities," G.R.E.Q.A.M. 96a04, Universite Aix-Marseille III.
    27. Eusepi, Stefano, 2007. "Learnability and monetary policy: A global perspective," Journal of Monetary Economics, Elsevier, vol. 54(4), pages 1115-1131, May.
    28. Davila, Julio, 2001. "Time and Uncertainty in Overlapping Generations Economies," Journal of Economic Theory, Elsevier, vol. 100(2), pages 356-386, October.
    29. Hinich Melvin J & Mendes Eduardo M & Stone Lewi, 2005. "Detecting Nonlinearity in Time Series: Surrogate and Bootstrap Approaches," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 9(4), pages 1-15, December.
    30. William A. Barnett & Yijun He & ., 1999. "Stabilization Policy as Bifurcation Selection: Would Keynesian Policy Work if the World Really were Keynesian?," Macroeconomics 9906008, University Library of Munich, Germany.
    31. Tanizaki, Hisashi, 1997. "Nonlinear and nonnormal filters using Monte Carlo methods," Computational Statistics & Data Analysis, Elsevier, vol. 25(4), pages 417-439, September.
    32. Koutsougeras, Leonidas C., 2009. "Convergence of strategic behavior to price taking," Games and Economic Behavior, Elsevier, vol. 65(1), pages 234-241, January.
    33. Kyrtsou, Catherine & Malliaris, Anastasios G. & Serletis, Apostolos, 2009. "Energy sector pricing: On the role of neglected nonlinearity," Energy Economics, Elsevier, vol. 31(3), pages 492-502, May.
    34. William A. Barnett, 1996. "A Perspective on the Current State of Macroeconomic Theory," Macroeconomics 9602003, University Library of Munich, Germany.
    35. J. Barkley Rosser & Marina Vchershnaya Rosser, 1997. "Schumpeterian Evolutionary Dynamics and the Collapse of Soviet-Bloc Socialism," Review of Political Economy, Taylor & Francis Journals, vol. 9(2), pages 211-223.
    36. Kelly, David L. & Shorish, Jamsheed, 2000. "Stability of Functional Rational Expectations Equilibria," Journal of Economic Theory, Elsevier, vol. 95(2), pages 215-250, December.
    37. Barrell, Ray & Caporale, Guglielmo Maria & Hall, Stephen & Garratt, Anthony, 1997. "Learning about monetary union: An analysis of bounded rational learning in European labor markets," Journal of Policy Modeling, Elsevier, vol. 19(5), pages 469-489, October.
    38. Tanizaki, Hisashi & Mariano, Roberto S., 1998. "Nonlinear and non-Gaussian state-space modeling with Monte Carlo simulations," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 263-290.
    39. Michele Boldrin & Lawrence J. Christiano & Jonas D. M. Fisher, 1999. "Habit persistence, asset returns and the business cycles," Working Paper Series WP-99-14, Federal Reserve Bank of Chicago.
    40. Leonidas C. Koutsougeras & Claudia Meo, 2018. "An asymptotic analysis of strategic behavior for exchange economies," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 66(2), pages 301-325, August.
    41. Pierre-Andre Chiappori & Julio Davila, 1996. "Cycles and Sunspots : the Poincare-Hopf approach," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00286030, HAL.
    42. Adam, Klaus & Evans, George W. & Honkapohja, Seppo, 2003. "Are stationary hyperinflation paths learnable?," CFS Working Paper Series 2004/15, Center for Financial Studies (CFS).
    43. Evans, George W. & McGough, Bruce, 2005. "Stable sunspot solutions in models with predetermined variables," Journal of Economic Dynamics and Control, Elsevier, vol. 29(4), pages 601-625, April.
    44. Melvin. J. Hinich & Phillip Wild & John Foster, 2010. "Testing for the Existence of a Generalized Wiener Process- the Case of Stock Prices," Discussion Papers Series 408, School of Economics, University of Queensland, Australia.
    45. Francesco de Palma & Thomas Seegmuller, 2005. "Dual Labor Market and Endogenous Fluctuations," Post-Print halshs-00194165, HAL.
    46. Francesco de Palma & Thomas Seegmuller, 2005. "Dual Labor Market and Endogenous Fluctuations," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00194165, HAL.
    47. Arifovic, Jasmina, 1995. "Genetic algorithms and inflationary economies," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 219-243, August.
    48. Alain Raybaut, 2021. "A first French episode in the renewal of nonlinear theory of economic cycles," Post-Print hal-03375804, HAL.
    49. Chin-Chang Lai, 1997. "The Complex Dynamics of Real Exchange Rates with Countercyclical Balance of Trade," Open Economies Review, Springer, vol. 8(4), pages 393-401, October.
    50. James B. Bullard, 1991. "Collapsing exchange rate regimes: a reinterpretation," Working Papers 1991-003, Federal Reserve Bank of St. Louis.
    51. Jean-Michel Grandmont, 1998. "Expectations Formation and Stability of Large Socioeconomic Systems," Econometrica, Econometric Society, vol. 66(4), pages 741-782, July.
    52. Dufrénot, G. & Triki, K., 2012. "Public debt ratio and its determinants in France since 1890 Does econometrics support the historical evidence?," Working papers 385, Banque de France.
    53. Sornette, Didier & Johansen, Anders, 1998. "A hierarchical model of financial crashes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 261(3), pages 581-598.
    54. Mohamed Chikhi & Claude Diebolt, 2019. "Testing Nonlinearity through a Logistic Smooth Transition AR Model with Logistic Smooth Transition GARCH Errors," Working Papers 03-19, Association Française de Cliométrie (AFC).
    55. Leonidas Koutsougeras, 2007. "From strategic to price taking behavior," Economics Discussion Paper Series 0717, Economics, The University of Manchester.
    56. Julio Davila, 2008. "The rationality of expectations formation and excess volatility," Post-Print halshs-00261582, HAL.
    57. Kian-Ping Lim & Venus Khim-Sen Liew, 2003. "Testing for Non-Linearity in ASEAN Financial Markets," Finance 0308002, University Library of Munich, Germany.
    58. George W. Evans & Seppo Honkapohja, 2002. "Expectational Stability of Stationary Sunspot Equilibria in a Forward-looking Linear Model," University of Oregon Economics Department Working Papers 2001-9, University of Oregon Economics Department, revised 14 Jan 2002.
    59. Hall, S. G. & Garratt, A., 1995. "Model consistent learning and regime switching in the London Business School model," Economic Modelling, Elsevier, vol. 12(2), pages 87-95, April.
    60. Bullard, James & Duffy, John, 1998. "A model of learning and emulation with artificial adaptive agents," Journal of Economic Dynamics and Control, Elsevier, vol. 22(2), pages 179-207, February.
    61. Stéphane Gauthier, 2001. "Learning and the Saddle Point Property," Post-Print hal-00731163, HAL.
    62. Arifovic, Jasmina, 2001. "Evolutionary dynamics of currency substitution," Journal of Economic Dynamics and Control, Elsevier, vol. 25(3-4), pages 395-417, March.
    63. Jeffrey E. Jarrett & Xia Pan & Shaw Chen, 2009. "Do the Chinese Bourses (Stock Markets) Predict Economic Growth?," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 8(3), pages 201-211, December.
    64. Claustre Bajona & Timothy J. Kehoe, 2006. "Demographics in Dynamic Heckscher-Ohlin Models: Overlapping Generations Versus Infinitely Lived Consumers," NBER Working Papers 12566, National Bureau of Economic Research, Inc.
    65. Mills, Terence C., 1995. "Business cycle asymmetries and non-linearities in U.K. macroeconomic time series," Ricerche Economiche, Elsevier, vol. 49(2), pages 97-124, June.
    66. Julio Dávila, "undated". "Reducing Overlapping Generations Economies to Finite Economies," CARESS Working Papres 00-08, University of Pennsylvania Center for Analytic Research and Economics in the Social Sciences.
    67. Medio, Alfredo & Raines, Brian, 2007. "Backward dynamics in economics. The inverse limit approach," Journal of Economic Dynamics and Control, Elsevier, vol. 31(5), pages 1633-1671, May.
    68. Albu, Lucian-Liviu & Daianu, Daniel & Pavelescu, Florin-Marius, 2002. "Underground economy quantitative models. Some applications to Romania’s case," MPRA Paper 14210, University Library of Munich, Germany.
    69. Greiner, Alfred, 1996. "Endogenous growth cycles--Arrow's learning by doing reconsidered," Journal of Macroeconomics, Elsevier, vol. 18(4), pages 587-604.
    70. Khurshid M. Kiani, 2009. "Asymmetries in Macroeconomic Time Series in Eleven Asian Economies," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 8(1), pages 37-54, April.
    71. Jeroen van den Bergh & John Gowdy, 2000. "Evolutionary Theories in Environmental and Resource Economics: Approaches and Applications," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 17(1), pages 37-57, September.
    72. Grandmont, Jean-Michel, 1998. "Introduction to Market Psychology and Nonlinear Endogenous Business Cycles," Journal of Economic Theory, Elsevier, vol. 80(1), pages 1-13, May.
    73. Luca Agnello & Gilles Dufrénot & Ricardo M. Sousa, 2012. "Adjusting the U.S. Fiscal Policy for Asset Prices: Evidence from a TVP-MS Framework," NIPE Working Papers 20/2012, NIPE - Universidade do Minho.
    74. Zhang, Lingxiang, 2013. "Modeling China's inflation dynamics: An MRSTAR approach," Economic Modelling, Elsevier, vol. 31(C), pages 440-446.
    75. William A. Barnett & Barry E. Jones & Milka Kirova & Travis Nesmith & Meenakshi Pasupathy, 2004. "The Nonlinear Skeletons in the Closet," Econometrics 0405003, University Library of Munich, Germany.
    76. William Barnett & Jingxian Hu, 2017. "Capital Control, Exchange Rate Regime, and Monetary Policy: Indeterminacy and Bifurcation," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201706, University of Kansas, Department of Economics, revised Sep 2017.
    77. Goenka, Aditya, 2000. "Informed Trading and the "Leakage" of Information," Economics Discussion Papers 8835, University of Essex, Department of Economics.
    78. Mateescu, Dan, 2016. "The Linear Regression Of Weighted Segments," Working Papers of Institute for Economic Forecasting 160720, Institute for Economic Forecasting.
    79. Papadopoulos Konstantinos G., 2008. "Purchasing Power Parity with Strategic Markets," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 8(1), pages 1-32, June.
    80. Becker, Robert A. & Tsyganov, Eugene N., 2002. "Ramsey Equilibrium in a Two-Sector Model with Heterogeneous Households," Journal of Economic Theory, Elsevier, vol. 105(1), pages 188-225, July.
    81. Goenka, Aditya & Poulsen, Odile, 2004. "Factor Intensity Reversal and Ergodic Chaos," Working Papers 04-13, University of Aarhus, Aarhus School of Business, Department of Economics.
    82. Roger Bowden & Jennifer Zhu, 2010. "Multi-scale variation, path risk and long-term portfolio management," Quantitative Finance, Taylor & Francis Journals, vol. 10(7), pages 783-796.
    83. Dmitry Levando, 2012. "A Survey Of Strategic Market Games," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 57(194), pages 63-106, July - Se.
    84. Costas Azariadis & James B. Bullard & Lee E. Ohanian, 1998. "Complex eigenvalues and trend-reverting fluctuations," Staff Report 255, Federal Reserve Bank of Minneapolis.
    85. Brecher, Richard A. & Chen, Zhiqi & Choudhri, Ehsan U., 2005. "Dynamic stability in a two-country model of optimal growth and international trade," Journal of Economic Dynamics and Control, Elsevier, vol. 29(3), pages 583-594, March.
    86. Alain Raybaut, 2019. "A First French Episode in the Renewal of Nonlinear Theory of Economic Cycles (1978-1985)," GREDEG Working Papers 2019-07, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    87. Chen, Shikuan, 1999. "Complex Dynamics of the Real Exchange Rate in an Open Macroeconomic Model," Journal of Macroeconomics, Elsevier, vol. 21(3), pages 493-508, July.
    88. Domenico Mignacca & Mauro Gallegati, 1994. "Is US Real GNP Chaotic? On Using the BDS test to Decide Whether an ARMA Model forthe US GNP Genreates I.I.D. Residuals," International Finance 9410002, University Library of Munich, Germany, revised 09 Nov 1994.
    89. Tim Cochrane & James Maclaurin, 2012. "Evolvability and progress in evolutionary economics," Journal of Bioeconomics, Springer, vol. 14(2), pages 101-114, July.
    90. Mendes, Diana A. & Mendes, Vivaldo M., 2008. "Stability analysis of an implicitly defined labor market model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(15), pages 3921-3930.
    91. Ferraris, Leo & Watanabe, Makoto, 2011. "Collateral fluctuations in a monetary economy," Journal of Economic Theory, Elsevier, vol. 146(5), pages 1915-1940, September.
    92. Mohamed Chikhi & Ali Bendob, 2018. "Nonparametric NAR-ARCH Modelling of Stock Prices by the Kernel Methodology," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 2(2), pages 105-120.
    93. Ntebogang Dinah Moroke, 2015. "An Optimal Generalized Autoregressive Conditional Heteroscedasticity Model for Forecasting the South African Inflation Volatility," Journal of Economics and Behavioral Studies, AMH International, vol. 7(4), pages 134-149.
    94. Thomas J. Sargent & Francois R. Velde, 1990. "The analytics of German monetary unification," Economic Review, Federal Reserve Bank of San Francisco, issue Fall, pages 33-50.
    95. Wei-Bin Zhang, 1992. "A development model of developing economies with capital and knowledge accumulation," Journal of Economics, Springer, vol. 55(1), pages 43-63, February.
    96. Michael Woodford, 1990. "Equilibrium Models of Endogenous Fluctuations: an Introduction," NBER Working Papers 3360, National Bureau of Economic Research, Inc.
    97. Adam, Klaus & Evans, George W. & Honkapohja, Seppo, 2006. "Are hyperinflation paths learnable?," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2725-2748, December.

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